130. | Q. Butler, Y. Ziada, and S. A. Gadsden, Estimation Theory: The Trapezoidal Rule, Gaussian-Weighted Integrals, and Cubature Kalman Filtering, IEEE Open Journal of Signal Processing, 2024. In Review. |
129. | A. Rahimnejad, E. Akbari, and S. A. Gadsden, Holistic Swarm Optimization: A Novel Metaphor-less Algorithm Guided by Whole Population Information for Addressing Exploration-Exploitation Dilemma, Computer Methods in Applied Mechanics and Engineering, 2024. In Review. |
128. | E. Akbari, A. Khodabakhshian, A. Rahimnejad, and S. A. Gadsden, Multi-Objective Optimal Power Flow Solution Using MOEA/D with Stable Matching-Based Selection Operator, Decision Analytics Journal, 2024. In Review. |
127. | A. Rahimnejad, S. A. Gadsden, and M. Al-Shabi, Strengthening Lattice Kalman Filters: Introducing Strong Tracking Lattice Filtering for Enhanced Robustness, IEEE Access, 2024. In Review. |
126. | K. Obaideen, M. Al-Shabi, and S. A. Gadsden, Smooth Variable Structure Filters Insights from a Decade of Research and Applications, Journal of Process Control, 2024. In Review. |
125. | A. Giuliano, S. A. Gadsden, and J. Yawney, Optimizing Satellite Image Analysis: Leveraging Variational Autoencoders Latent Representations for Direct Integration, IEEE Transactions on Geoscience and Remote Sensing, 2024. In Review. |
124. | N. Alsadi, W. Hilal, A. McCafferty-Leroux, S. A. Gadsden, and J. Yawney, Smart Systems: A Review of Theory, Applications, and Recent Advances, Internet of Things, 2024. In Review. |
123. | N. Alsadi, B. Sicard, and S. A. Gadsden, An Adaptive Cognitive Blockchain Methodology for Smart System Applications, Blockchain: Research and Applications, 2024. In Review. |
122. | T. Yan, Z. Xu, S. X. Yang, and S. A. Gadsden, Robust Optimal Stabilization of Underactuated Nonlinear Stochastic Systems with Constraints and Uncertainties: A Sequential Approach, IEEE Transactions on Circuits and Systems II: Express Briefs, 2024. In Review. |
121. | T. Yan, Z. Xu, S. X. Yang, and S. A. Gadsden, Optimal Robust Consensus of Constrained AUVs Networks With Non-Uniform Time-Varying Communication Delays and Disturbances, IEEE Intelligent Transportation Systems Transactions, 2024. In Review. |
120. | Z. Xu, T. Yan, S. X. Yang, S. A. Gadsden, and M. Biglarbegian, Distributed Observer-Based Bioinspired Robust Active Formation Control of Quadrotors with Unknown Parameters and Disturbances, IEEE Transactions on Cybernetics, 2024. In Review. |
119. | A. Elnady, M. Al-Shabi, and S. A. Gadsden, Integral Terminal Sliding Mode Based Direct Power Control for Master-Slave Scheme in Microgrids, Journal of Modern Power Systems and Clean Energy, 2024. In Review. |
118. | Z. Xu, T. Yan, S. X. Yang, and S. A. Gadsden, Formation Control of Quadrotor Unmanned Aerial Vehicles: A Review, Intelligence & Robotics, 2024. In Review. |
117. | A. Giuliano, S. A. Gadsden, and J. Yawney, Transformer-based transfer learning for battery state-of-health estimation, Applied Energy, 2024. In Review. |
116. | A. McCafferty-Leroux and S. A. Gadsden, Intelligent Methods for Attitude Control in Nanosatellite Applications: A Review of Techniques and Modern Innovations, Expert Systems with Applications, 2024. In Review. |
115. | A. Giuliano, W. Hilal, Y. Ziada, J. Yawney, and S. A. Gadsden, Cognitive Internet of Things: A Review of Theory, Applications, and Recent Advances, Expert Systems with Applications, 2024. In Review. |
114. | U. Yeprem, W. Hilal, S. A. Gadsden, and J. Yawney, Environmental, Social, and Governance: A Review of Theory, Applications, and Recent Advances, IEEE Access, 2024. In Review. |
113. | A. Rahimnejad, L. Vanfretti, S. A. Gadsden, and M. Al-Shabi, Lattice Kalman Filters: Introducing Strong Tracking Lattice Filtering for Enhanced Robustness, IEEE Open Journal of Signal Processing, 2024. In Review. |
112. | M. Gil, A. Rahimnejad, E. Akbari, S. A. Gadsden, and A. A. Abdoos, Optimal Reactive Power Dispatch Solution using Phasor Particle Swarm Optimization, Intelligent Systems with Applications, 2024. In Review. |
111. | W. Hilal, M. G. Chislett, Y. Wu, B. Snider, E. A. McBean, J. Yawney, and S. A. Gadsden, Testing Positive Post-Vaccination for COVID-19: A Survival Analysis Approach, BioMedInformatics, 2024. In Press. |
110. | J. M. Goodman, W. Hilal, S. A. Gadsden, and C. Eggleton, Comparison of SVSF-KF Adaptive Estimation Algorithms on an Electro-Hydrostatic Actuator Subject to a Fault, IEEE Sensors Journal, 2024. In Press. |
109. | Z. Xu, T. Yan, S. X. Yang, S. A. Gadsden, and M. Biglarbegian, Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics, IEEE Transactions on Intelligent Vehicles, 2024. In Press. |
108. | Y. Wu, B. Sicard, and S. A. Gadsden, Physics-Informed Machine Learning: A Comprehensive Review on Applications in Anomaly Detection and Condition Monitoring, Expert Systems with Applications, Vol. 255, No. C, pages 124678, 2024. |
107. | A. Rahimnejad, M. Gil, E. Akbari, M. Ghasemi, and S. A. Gadsden, Solution of Optimal Reactive Power Dispatch by L?vy-flight Phasor Particle Swarm Optimization, Intelligent Systems with Applications, Vol. 23, pages 200398, 2024. |
106. | J. Powell, A. McCafferty-Leroux, W. Hilal, and S. A. Gadsden, Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends, Energy Reports, Vol. 11, pages 5760-5785, 2024. |
105. | A. Moksyakov, W. Hilal, S. A. Gadsden, J. Yawney, and M. Al-Shabi, Object Detection and Tracking in Video with YOLO and the Sliding Innovation Filter, Sensors, Vol. 24, No. 7, pages 2107, 2024. |
104. | S. Edrisi, J. Enayati, A. Rahimnejad, and S. A. Gadsden, A Monte Carlo Based Iterative Extended Kalman Filter for Bearing-Only Tracking of Sea Targets, Sensors, Vol. 24, No. 7, pages 2087, 2024. |
103. | T. Yan, Z. Xu, S. X. Yang, and S. A. Gadsden, Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet, IEEE Transactions on Cybernetics, Vol. 54, No. 8, pages 4666-4677, 2024. |
102. | Z. Xu, T. Yan, S. X. Yang, and S. A. Gadsden, Distributed Leader Follower Hybrid Formation Control based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter, IEEE Transactions on Industrial Informatics, Vol. 20, No. 2, 2024. |
101. | R. Bustos, S. A. Gadsden, M. Biglarbegian, M. Al-Shabi, and S. Mahmud, Battery State of Health Estimation using the Sliding Interacting Multiple Model Strategy, Energies, Vol. 17, No. 2, 2024. |
100. | A. S. Lee, Y. Wu, S. A. Gadsden, and M. Al-Shabi, Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper, Sensors, Vol. 24, No. 1, pages 251, 2024. |
99. | A. Ammir, N. Alsadi, J. D. Adachi, S. A. Gadsden, and C. E. Quenneville, A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos), Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023. |
98. | Y. Wu and S. A. Gadsden, Machine Learning Algorithms in Microbial Classification: A Review and Comparative Analysis, Frontiers in Artificial Intelligence, Vol. 6, 2023. |
97. | E. Hill, A. Newton, S. A. Gadsden, and M. Biglarbegian, Tube-based Robust Model Predictive Control for Fault Tolerance, Mechatronics, Vol. 95, pages 103051, 2023. |
96. | A. Rahimnejad, E. Akbari, M. Ghasemi, S. Mirjalili, S. A. Gadsden, P. Trojovsky, and E. Trojovska, An improved hybrid whale optimization algorithm for global optimization and engineering design problems, Computer Science, Vol. 9, 2023. |
95. | Z. Xu, T. Yan, S. X. Yang, and S. A. Gadsden, Bioinspired Backstepping Sliding Mode Control with Adaptive Sliding Innovation Filter for Quadrotor Unmanned Aerial Vehicles, Biomimetic Intelligence and Robotics, Vol. 3, No. 3, pages 100116, 2023. |
94. | B. S. Sicard, Q. Butler, Y. Ziada, E. Hughey, and S. A. Gadsden, Preload Loss Detection in a Ball Screw System using Interacting Models, IEEE Open Journal of Instrumentation and Measurement, Vol. 2, No. 1, pages 1-12, 2023. |
93. | A. Rahimnejad, J. Enayati, L. Vanfretti, S. A. Gadsden, and M. Al-Shabi, Reinforced Lattice Kalman Filters: A Robust Nonlinear Estimation Strategy, IEEE Open Journal of Signal Processing, Vol. 4, No. 1, pages 410-423, 2023. |
92. | M. Ghasemi, A. Rahimnejad, E. Akbari, R. V. Rao, P. Trojovsky, E. Trojovska, and S. A. Gadsden, A new metaphor-less simple algorithm based on Rao algorithms: A Fully Informed Search Algorithm (FISA), Computer Science, Vol. 9, 2023. |
91. | A. S. Lee, W. Hilal, S. A. Gadsden, and M. Al-Shabi, Combined Kalman and Sliding Innovation Filtering: An Adaptive Estimation Strategy, Measurement, Vol. 218, No. 1, pages 113228, 2023. |
90. | W. Hilal, S. A. Gadsden, and J. Yawney, Cognitive Dynamic Systems: A Review of Applications and Recent Advances, Proceedings of the IEEE, Vol. 111, No. 6, pages 575-622, 2023. |
89. | A. S. Lee, S. A. Gadsden, S. A. Wilkerson, and M. Al-Shabi, An Adaptive Formulation of the Smooth Variable Structure Filter based on Static Multiple Models, International Journal of Robotics and Automation, Vol. 38, No. 10, 2023. |
88. | I. Spotts, C. H. Brodie, D. Saeedkia, S. A. Gadsden, and C. M. Collier, Improved Terahertz Time-domain Spectroscopy of Vapor Samples via the Extended Kalman Filter, IEEE Journal of Selected Topics in Quantum Electronics, Vol. 29, No. 5, 2023. |
87. | M. Ghasemi, A. Rahimnejad, M. Gil, E. Akbari, and S. A. Gadsden, A Self-Competitive Mutation Strategy for Differential Evolution Algorithms with Applications to Proportional-Integral-Derivative Controllers and Automatic Voltage Regulator Systems, Decision Analytics Journal, Vol. 7, pages 100205, 2023. |
86. | O. Surucu, S. A. Gadsden, and J. Yawney, Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances, Expert Systems with Applications, Vol. 221, pages 119738, 2023. |
85. | H. H. Afshari, A. S. Lee, S. A. Gadsden, and S. R. Habibi, A Dynamic Second-Order Estimation Strategy for Faulty Systems, International Journal of Robotics and Automation, Vol. 38, No. 10, 2023. |
84. | N. Alsadi, S. A. Gadsden, and J. Yawney, Intelligent Estimation: A Review of Theory, Applications, and Recent Advances, Digital Signal Processing, Vol. 135, pages 103966, 2023. |
83. | T. Yan, Z. Xu, S. X. Yang, and S. A. Gadsden, Formation Control of Multiple Autonomous Underwater Vehicles: A Review, Intelligence & Robotics, Vol. 3, No. 1, pages 1-22, 2023. |
82. | R. Bustos, S. A. Gadsden, M. Al-Shabi, and S. Mahmud, Lithium-ion Battery Health Estimation using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles, Applied Sciences, Vol. 13, No. 2, 2023. |
81. | C. W. Zhou, E. Hill, S. A. Gadsden, J. A. Cline, and M. Biglarbegian, Smart Agriculture: Development of A Skid-Steer Autonomous Robot with Advanced Model Predictive Controllers, Robotics and Autonomous Systems, Vol. 162, 2023. |
80. | J. M. Goodman, W. Hilal, S. A. Gadsden, and C. Eggleton, Adaptive SVSF-KF Estimation Strategies Based on the Normalized Innovation Square Metric and IMM Strategy, Results in Engineering, Vol. 16, pages 100785, 2022. |
79. | W. Hilal, M. G. Chislett, B. Snider, E. A. McBean, J. Yawney, and S. A. Gadsden, Use of AI to Assess COVID-19 Variant Impacts on Hospitalization, ICU, and Death, Frontiers in Artificial Intelligence, Vol. 5, 2022. |
78. | A. Rahimnejad, J. Enayati, S. A. Gadsden, and M. Al-Shabi, Dynamic Harmonic Estimation using a Novel Robust Filtering Strategy: Iterated Sliding Innovation Cubature Filter, IEEE Transactions on Instrumentation and Measurement, Vol. 72, pages 1-10, 2022. |
77. | M. Al-Shabi and S. A. Gadsden, Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy, Sensors, Vol. 22, No. 22, 2022. |
76. | J. Lee, S. A. Gadsden, M. Biglarbegian, and J. A. Cline, Smart Agriculture: A Fruit Flower Cluster Detection Strategy in Apple Orchards using Machine Vision and Learning, Applied Sciences, Vol. 12, No. 22, pages 11420, 2022. |
75. | Z. Xu, T. Yan, S. X. Yang, and S. A. Gadsden, A Hybrid Tracking Control Strategy for an Autonomous Underwater Vehicle Aided with Bioinspired Neural Dynamics, IET Cyber-Systems and Robotics, Vol. 4, No. 3, pages 153-162, 2022. |
74. | I. Baek, C. Mo, C. Eggleton, S. A. Gadsden, B. K. Cho, J. Qin, D. E. Chan, and M. S. Kim, Determination of Spectral Resolutions for Multispectral Detection of Apple Bruises using Visible/Near-infrared Hyperspectral Reflectance Imaging, Frontiers in Plant Science, Vol. 13, 2022. |
73. | M. Ghasemi, E. Akbari, I. F. Davoudkhani, A. Rahimnejad, M. B. Asadpoor, and S. A. Gadsden, Application of Coulomb and Franklin Laws to Solve Large-Scale Optimal Reactive Power Dispatch Problems, Soft Computing, Vol. 42, 2022. |
72. | Q. Butler, Y. Ziada, D. A. Stephenson, and S. A. Gadsden, Condition Monitoring of Machine Tool Feed Drives: A Review, ASME Journal of Manufacturing Science and Engineering, Vol. 144, 2022. |
71. | J. Woodward, K. Turpie, T. Stone, S. A. Gadsden, A. Newton, S. Maxwell, S. Grantham, T. Larason, and S. W. Brown, Measurements of Absolute, SI-traceable Lunar Irradiance with the Airborne LUnar Spectral Irradiance (Air-LUSI) Instrument, Metrologia, Vol. 59, No. 3, 2022. |
70. | S. E. Grantham, K. R. Turpie, T. C. Stone, S. A. Gadsden, T. C. Larason, C. J. Zarobila, S. E. Maxwell, J. T. Woodward, and S. W. Brown, The Irradiance Instrument Subsystem (IRIS) on the Airborne-Lunar Spectral Irradiance (Air-LUSI) Instrument, Measurement Science and Technology, Vol. 33, No. 6, 2022. |
69. | I. Spotts, H. Brodie, C. A. LeClerc, S. A. Gadsden, M. Al-Shabi, and C. M. Collier, Extended Kalman filter and extended sliding innovation filter in terahertz spectral acquisition, Optics Continuum, Vol. 1, No. 5, pages 1003-1014, 2022. |
68. | A. E. Nezhad, A. Rahimnejad, P. H. J. Nardelli, S. A. Gadsden, S. Sahoo, and F. Ghanavati, A Shrinking Horizon Model Predictive Controller for Daily Scheduling of Home Energy Management Systems, IEEE Access, Vol. 10, pages 29716-29730, 2022. |
67. | R. Bustos, S. A. Gadsden, P. Malysz, M. Al-Shabi, and S. Mahmud, Health Monitoring of Lithium-Ion Batteries Using Dual Filters, Energies, Vol. 15, No. 6, pages 2230, 2022. |
66. | K. Venkateshwar, S. H. Tasnim, S. A. Gadsden, and S. Mahmud, Artificial Neural Network-Genetic Algorithm Optimized Graded Metal Foam, Journal of Energy Storage, Vol. 51, pages 104386, 2022. |
65. | K. Venkateshwar, S. H. Tasnim, S. A. Gadsden, and S. Mahmud, Influence of Shrinkage on Phase Change Material-based Thermal Rectifiers, Thermal Science and Engineering Progress, Vol. 29, No. 1, pages 101200, 2022. |
64. | W. Hilal, S. A. Gadsden, and J. Yawney, Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances, Expert Systems with Applications, Vol. 193, No. 1, pages 116429, 2022. |
63. | E. Hill, S. A. Gadsden, and M. Biglarbegian, Robust Nonlinear Model Predictive Control with Model Predictive Sliding Mode for Continuous-Time Systems, ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 144, No. 3, 2022. |
62. | E. Akbari, M. Ghasemi, M. Gil, A. Rahimnejad, and S. A. Gadsden, Optimal Power Flow Design Based on a Teaching-Learning-Studying Optimization Algorithm, Electric Power Components and Systems, Vol. 49, No. 6, pages 584-601, 2021. |
61. | A. Rahimnejad, M. Gil, A. A. Abdoos, and S. A. Gadsden, A Hybrid Intelligent Busbar Protection Strategy using Hyperbolic S-transforms and Extreme Learning Machines, Engineering Reports, Vol. 3, No. 12, 2021. |
60. | K. Venkateshwar, S. H. Tasnim, S. A. Gadsden, and S. Mahmud, Influence of Natural Convection on Design of Thermal Diodes, International Communications in Heat and Mass Transfer, Vol. 127, pages 105574, 2021. |
59. | A. Rahimnejad, M. Naeijian, S. M. Ebrahimi, N. Pourmousa, and S. A. Gadsden, Parameter Estimation of PV Solar Cells and Modules using Whippy Harris Hawks Optimization Algorithm, Energy Reports, Vol. 7, pages 4047-4063, 2021. |
58. | J. Enayati, A. Rahimnejad, and S. A. Gadsden, LED Reliability Assessment using a Novel Monte Carlo-Based Algorithm, IEEE Transactions on Device and Materials Reliability, Vol. 21, No. 3, pages 338-347, 2021. |
57. | M. Ghasemi, A. Rahimnejad, R. Hemmati, E. Akbari, and S. A. Gadsden, Wild Geese Algorithm: A Novel Algorithm for Large Scale Optimization based on the Natural Life and Death of Wild Geese, Array, Vol. 11, pages 100074, 2021. |
56. | B. Snider, E. McBean, J. Yawney, S. A. Gadsden, and B. Patel, Identification of Variable Importance for Predictions of Mortality from COVID-19 Using AI Models for Ontario, Canada, Frontiers in Public Health, Vol. 9, pages 798, 2021. |
55. | A. E. Nezhad, A. Rahimnejad, and S. A. Gadsden, Home Energy Management System for Smart Buildings with Inverter-based Air Conditioning System, International Journal of Electrical Power & Energy Systems, Vol. 133, pages 107230, 2021. |
54. | A. S. Lee, S. A. Gadsden, and M. Al-Shabi, An Adaptive Formulation of the Sliding Innovation Filter, IEEE Signal Processing Letters, Vol. 28, pages 1295-1299, 2021. |
53. | A. Rahimnejad, S. A. Gadsden, and M. Al-Shabi, Lattice Kalman Filters, IEEE Signal Processing Letters, Vol. 28, pages 1355-1359, 2021. |
52. | B. Snider, P. Phillips, A. MacLean, E. McBean, J. Yawney, and S. A. Gadsden, Influence of Opening Up Day-care and Day Camps on Resurgence Potential of COVID-19 Pandemic: Assessing Infectivity Potential from Youth, in Ontario, Canada, IEEE Transactions on Computational Social Systems, Vol. 8, No. 4, pages 1052-1060, 2021. |
51. | J. Kim, C. Eggleton, S. A. Wilkerson, and S. A. Gadsden, Cooperative Sensor-based Selective Graph Exploration Strategy for a Team of Quadrotors, Journal of Intelligent & Robotic Systems, Vol. 103, 2021. |
50. | M. J. Baucas, S. A. Gadsden, and P. Spachos, IoT-based Smart Home Access Layer using Private Blockchain Technology and Localization, IEEE Networking Letters, Vol. 3, No. 2, pages 52-55, 2021. |
49. | E. Akbari, A. Rahimnejad, and S. A. Gadsden, A Greedy Non-Hierarchical Grey Wolf Optimizer for Real-World Optimization, Electronics Letters, Vol. 57, No. 13, pages 499-501, 2021. |
48. | E. Hill, S. A. Gadsden, and M. Biglarbegian, Explicit Nonlinear MPC for Fault Tolerance using Interacting Multiple Models, IEEE Transactions on Aerospace and Electronic Systems, Vol. 57, No. 5, pages 2784-2794, 2021. |
47. | M. G. Chislett, P. Phillips, B. Snider, E. A. McBean, J. Yawney, and S. A. Gadsden, Assessing the Impact of Alternative Responses to COVID-19: Stopping the Spread in Newfoundland, Canada, IEEE Canadian Journal of Electrical and Computer Engineering, Vol. 44, No. 2, pages 238-245, 2021. |
46. | Y. Lyu, A. R. M. Siddique, S. A. Gadsden, and S. Mahmud, Experimental Investigation of Thermoelectric Cooling for a New Battery Pack Design in a Copper Holder, Results in Engineering, Vol. 10, pages 100214, 2021. |
45. | A. Bardelcik, S. Yang, F. Alderson, and S. A. Gadsden, The Effect of Wash Treatment on the Mechanical Properties and Energy Absorption Potential of a 3D Printed Polymethyl Methacrylate (PMMA), Materials Today Communications, Vol. 26, pages 101728, 2021. |
44. | N. Berkmortel, M. Curtis, C. Johnson, A. Schmidt, E. Hill, and S. A. Gadsden, Development of a Mechatronic System for Plant Recognition and Intra-Row Weeding with Machine Vision, Journal of Agricultural Science, Vol. 13, No. 3, 2021. |
43. | A. Buin, H. Y. Chiang, S. A. Gadsden, and F. Alderson, Permutationally invariant deep learning approach to molecular fingerprinting with application to compound mixtures, ACS Journal of Chemical Information and Modeling, Vol. 61, No. 2, pages 631-640, 2021. |
42. | M. Avzayesh, M. Abdel-Hafez, M. Al-Shabi, and S. A. Gadsden, The Smooth Variable Structure Filter: A Comprehensive Review, Digital Signal Processing, Vol. 110, 2021. |
41. | W. Youn, N. Y. Ko, S. A. Gadsden, and H. Myung, A Novel Multiple-Model Adaptive Kalman Filter for an Unknown Measurement Loss Probability, IEEE Transactions on Instrumentation and Measurement, Vol. 70, pages 1-11, 2021. |
40. | I. Spotts, C. H. Brodie, S. A. Gadsden, M. Al-Shabi, and C. M. Collier, Comparison of Nonlinear Filtering Techniques for Photonic Systems with Blackbody Radiation, Applied Optics, Vol. 59, No. 30, pages 9303-9312, 2020. |
39. | J. Yawney and S. A. Gadsden, A Study of the COVID-19 Impacts on the Canadian Population, IEEE Access, Vol. 8, pages 128240-128249, 2020. |
38. | Z. Xu, S. X. Yang, and S. A. Gadsden, Enhanced Bioinspired Backstepping Control for a Mobile Robot with Unscented Kalman Filter, IEEE Access, Vol. 8, pages 125899-125908, 2020. |
37. | A. Newton, A. Cataford, S. Maxwell, S. A. Gadsden, and K. Turpie, Air-LUSI: Development of a Pointing and Tracking Control System for Lunar Spectral Measurements, Acta Astronautica, Vol. 176, pages 558-566, 2020. |
36. | S. A. Gadsden and M. Al-Shabi, The Sliding Innovation Filter, IEEE Access, Vol. 8, pages 96129-96138, 2020. |
35. | K. Lourenssen, J. Williams, F. Ahmadpour, R. Clemmer, S. A. Gadsden, and S. Tasnim, Design, Development, and Testing of a Low-Concentration Vanadium Redox Flow Battery, ASME Journal of Electrochemical Energy Conversion and Storage, Vol. 18, No. 1, pages 11007, 2020. |
34. | A. Cataford, S. A. Gadsden, and K. Turpie, Air-LUSI: A Robotic Telescope Design for Lunar Spectral Measurements, Advances in Space Research, Vol. 65, No. 10, pages 2315-2323, 2020. |
33. | M. Al-Shabi, K. S. Hatamleh, S. A. Gadsden, B. Soudan, and A. El-Nady, Robust Nonlinear Control and Estimation of an PRRR Robotic Arm, International Journal of Robotics and Automation, Vol. 34, No. 6, 2019. |
32. | I. Baek, B. K. Cho, S. A. Gadsden, C. Eggleton, C. Mo, M. Oh, and M. Kim, A Novel Hyperspectral Line-Scan Imaging Method for Whole Surfaces of Round Shaped Agricultural Products, Biosystems Engineering, Vol. 188, pages 57-66, 2019. |
31. | W. Youn and S. A. Gadsden, Combined Quaternion-Based Error State Kalman Filtering and Smooth Variable Structure Filtering for Robust Attitude Estimation, IEEE Access, Vol. 7, pages 148989-149004, 2019. |
30. | J. Kim, S. A. Wilkerson, and S. A. Gadsden, A Comprehensive Survey of Control Strategies for Autonomous Quadrotors, IEEE Canadian Journal of Electrical and Computer Engineering, Vol. 43, No. 1, pages 3-16, 2019. |
29. | S. Rossi and S. A. Gadsden, Sensor Filtering and State Estimation of a Fast Simulated Planar Bipedal Robot, Advances in Motion Sensing and Control for Robotic Applications (Book Chapter), Vol. 1, pages 1-13, 2019. |
28. | Y. Lyu, A. R. M. Siddique, S. H. Majid, M. Biglarbegian, S. A. Gadsden, and S. Mahmud, Electric Vehicle Battery Thermal Management System with Thermoelectric Cooling, Energy Reports, Vol. 5, pages 822-827, 2019. |
27. | S. Bonadies and S. A. Gadsden, An Overview of Autonomous Crop Row Navigation Strategies for Unmanned Ground Vehicles, Journal of Engineering in Agriculture, Environment and Food, Vol. 12, No. 1, pages 24-31, 2019. |
26. | H. H. Afshari, S. A. Gadsden, and S. R. Habibi, A Nonlinear Second-Order Filter for State Estimation of Uncertain Systems, Signal Processing, Vol. 155, pages 182-192, 2019. |
25. | J. Kim, S. Bonadies, and S. A. Gadsden, Cooperative Robot Exploration Strategy Using an Efficient Backtracking Method for Multiple Robots, ASME Journal of Mechanisms and Robotics, Vol. 10, No. 6, 2018. |
24. | M. M. Zaw, W. Hedrich, H. Banazadeh, T. Munuhe, H. Wang, S. A. Gadsden, L. Zhu, and R. Ma, Fabrication of a Cell Culture Plate with a 3D Printed Mold and Thermal Analysis of PDMS-Based Casting Process, ASME Journal of Thermal Science and Engineering Applications, Vol. 10, No. 6, 2018. |
23. | S. Bonadies, N. Smith, N. Niewoehner, A. S. Lee, A. M. Lefcourt, and S. A. Gadsden, Development of Proportional-Integral-Derivative and Fuzzy Control Strategies for Navigation in Agricultural Environments, ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 140, No. 6, 2017. |
22. | J. Kim, K. Chang, B. Schwarz, A. S. Lee, M. Al-Shabi, and S. A. Gadsden, Dynamic Model and Motion Control of a Robotic Manipulator, Journal of Robotics, Networking and Artificial Life, Vol. 4, No. 2, pages 138-141, 2017. |
21. | J. Goodman, J. Kim, A. S. Lee, S. A. Gadsden, and M. Al-Shabi, A Variable Structure-Based Estimation Strategy Applied to an RRR Robot System, Journal of Robotics, Networking and Artificial Life, Vol. 4, No. 2, pages 142-145, 2017. |
20. | S. A. Gadsden and A. S. Lee, Advances of the Smooth Variable Structure Filter: Square-Root and Two-Pass Formulations, Journal of Applied Remote Sensing, Vol. 11, No. 1, 2017. |
19. | M. Farag, M. Attari, S. A. Gadsden, and S. R. Habibi, Lithium-Ion Battery State of Charge Estimation Using One State Hysteresis Model with Nonlinear Estimation Strategies, International Journal of Chemical, Molecular, Nuclear, Materials and Metallurgical Engineering, Vol. 11, No. 3, pages 202-206, 2017. |
18. | M. Attari, S. A. Gadsden, and S. R. Habibi, Target Tracking Formulation of the SVSF with Data Association Techniques, IEEE Transactions on Aerospace and Electronic Systems, Vol. 53, No. 1, 2017. |
17. | H. H. Afshari, S. A. Gadsden, and S. R. Habibi, Gaussian Filters for Parameter and State Estimation: A General Review and Recent Trends, Signal Processing, Vol. 135, pages 218-238, 2017. |
16. | A. M. Lefcourt, R. Kistler, S. A. Gadsden, and M. S. Kim, Automated Cart with VIS/NIR Hyperspectral Reflectance and Fluorescence Imaging Capabilities, Applied Sciences, Vol. 7, No. 1, 2016. |
15. | M. Al-Shabi, W. Araydah, H. El Shatarat, M. Othman, M. B. Younis, and S. A. Gadsden, Effects of Mechanical Vibrations on the Human Body, World Journal of Mechanics, Vol. 6, No. 9, pages 273-304, 2016. |
14. | R. Ahmed, M. El Sayed, S. A. Gadsden, S. R. Habibi, and J. Tjong, Artificial Neural Network Training Utilizing the Smooth Variable Estimation Strategy, Neural Computing and Applications, Vol. 27, No. 3, pages 537-548, 2016. |
13. | R. Ahmed, M. El Sayed, S. A. Gadsden, S. R. Habibi, and J. Tjong, Automotive Internal Combustion Engine Fault Detection and Classification Using Artificial Neural Network Techniques, IEEE Transactions on Vehicular Technology, Vol. 64, No. 1, pages 21-33, 2015. |
12. | H. H. Afshari, S. A. Gadsden, and S. R. Habibi, Robust Fault Diagnosis of an Electro-Hydrostatic Actuator using the Novel Optimal Second-Order SVSF and IMM Strategy, International Journal of Fluid Power, Vol. 15, No. 3, pages 181-196, 2014. |
11. | V. T. Jouppila, S. A. Gadsden, and A. U. Ellman, Experimental Comparisons of Sliding Mode Controlled Pneumatic Muscle and Cylinder Actuators, ASME Journal of Dynamic Systems, Measurements, and Control, Vol. 136, No. 4, 2014. |
10. | S. A. Gadsden, S. R. Habibi, and T. Kirubarajan, Kalman and Smooth Variable Structure Filters for Robust Estimation, IEEE Transactions on Aerospace and Electronic Systems, Vol. 50, No. 2, pages 1038-1050, 2014. |
9. | V. T. Jouppila, S. A. Gadsden, G. M. Bone, A. U. Ellman, and S. R. Habibi, Sliding Mode Control of a Pneumatic Muscle Actuator System with a PWM Strategy, International Journal of Fluid Power, Vol. 15, No. 1, pages 19-31, 2014. |
8. | S. A. Gadsden, M. Al-Shabi, I. Arasaratnam, and S. R. Habibi, Combined Cubature Kalman and Smooth Variable Structure Filtering: A Robust Estimation Strategy, Signal Processing, Vol. 96, No. B, pages 290-299, 2014. |
7. | S. A. Gadsden, Y. Song, and S. R. Habibi, Novel Model-Based Estimators for the Purposes of Fault Detection and Diagnosis, IEEE/ASME Transactions on Mechatronics, Vol. 18, No. 4, pages 1237-1249, 2013. |
6. | S. A. Gadsden and S. R. Habibi, Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle, Journal of Energy and Power Engineering, Vol. 7, No. 7, pages 1344-1351, 2013. |
5. | M. Al-Shabi, S. A. Gadsden, and S. R. Habibi, Kalman Filtering Strategies Utilizing the Chattering Effects of the Smooth Variable Structure Filter, Signal Processing, Vol. 93, No. 2, pages 420-431, 2013. |
4. | S. A. Gadsden and S. R. Habibi, A New Robust Filtering Strategy for Linear Systems, ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 135, No. 1, 2013. |
3. | S. A. Gadsden, D. Dunne, S. R. Habibi, and T. Kirubarajan, Nonlinear Estimation Techniques Applied on Target Tracking Problems, ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 134, No. 5, 2012. |
2. | S. A. Gadsden, S. R. Habibi, and T. Kirubarajan, The Smooth Particle Variable Structure Filter, Transactions of the Canadian Society for Mechanical Engineering, Vol. 36, No. 2, pages 177-193, 2012. |
1. | S. A. Gadsden, M. Al-Shabi, and S. R. Habibi, Estimation Strategies for the Condition Monitoring of a Battery System in a Hybrid Electric Vehicle, ISRN Signal Processing, 2011. |
222. | I. Spotts, C. H. Brodie, B. Sicard, C. Ty, C. M. Collier, and S. A. Gadsden, Terahertz enhancements through Kalman filtering, 2025 SPIE Next-Generation Spectroscopic Technologies XVII, Orlando, Florida, 2025. |
221. | R. Appuhamy, F. Alderson, and S. A. Gadsden, Comparing the effectiveness of single-compartment and dual-compartment hydrogen peroxide fuel cells, 2025 SPIE Energy Harvesting and Storage: Materials, Devices, and Applications XV, Orlando, Florida, 2025. |
220. | R. Appuhamy, F. Alderson, and S. A. Gadsden, Study of metal electrodes in a single-cell hydrogen peroxide fuel cell, 2025 SPIE Energy Harvesting and Storage: Materials, Devices, and Applications XV, Orlando, Florida, 2025. |
219. | O. Elsayed, J. Yawney, and S. A. Gadsden, Understanding Smart Systems: Integrating Explainable AI in Machine Learning and Reinforcement Learning Based Control Frameworks, 2025 SPIE Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III, Orlando, Florida, 2025. |
218. | K. Obaideen, A. McCafferty-Leroux, W. Hilal, M. AlShabi, and S. A. Gadsden, Analysis of deep learning in automatic target recognition: evolution and emerging trends, 2025 SPIE Automatic Target Recognition XXXV, Orlando, Florida, 2025. |
217. | B. Sicard, Q. Butler, Y. Wu, A. McCafferty-Leroux, and S. A. Gadsden, Optimal data point selection for model identification of friction characteristics, 2025 SPIE Pattern Recognition and Prediction XXXVI, Orlando, Florida, 2025. |
216. | Y. Wu, B. Sicard, P. Kosierb, A. McCafferty-Leroux, and S. A. Gadsden, Condition monitoring and anomaly detection through physics-informed machine learning, 2025 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, Orlando, Florida, 2025. |
215. | Y. Wu, B. Sicard, P. Kosierb, A. McCafferty-Leroux, and S. A. Gadsden, Integrating Transformer Architectures with Physics-Informed Neural Networks for Enhanced System Identification and Surrogate Modeling, 2025 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, Orlando, Florida, 2025. |
214. | K. Obaideen, P. Kosierb, W. Hilal, M. AlShabi, and S. A. Gadsden, A bibliometric review of machine learning applications in multi-domain operations: A decade of progress, 2025 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, Orlando, Florida, 2025. |
213. | B. Sicard, P. Kosierb, Y. Wu, and S. A. Gadsden, Physics informed neural network model for machine tool feed drive, 2025 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, Orlando, Florida, 2025. |
212. | K. Obaideen, T. French, S. A. Gadsden, and M. AlShabi, UAV-based sensing systems for agricultural optimization: focus on phenotyping and crop monitoring, 2025 SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X, Orlando, Florida, 2025. |
211. | P. Kosierb, Y. Wu, Q. Butler, B. Sicard, and S. A. Gadsden, Dynamic parameter identification for magnetorheological dampers using the Unscented Kalman Filter, 2025 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIV, Orlando, Florida, 2025. |
210. | N. Alsadi, S. A. Gadsden, J. Yawney, Deep Distributed Kalman Filter: An Adaptive Deep Learning Framework for Distributed Kalman Filtering, 2025 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIV, Orlando, Florida, 2025. |
209. | N. Alsadi, S. A. Gadsden, J. Yawney, Derivation and Adaptive Enhancement of the Sliding Sigmoid Filter, 2025 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIV, Orlando, Florida, 2025. |
208. | Q. Butler, W. Hilal, Y. Ziada, and S. A. Gadsden, A comparative analysis of cubature Kalman fitlers, 2025 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIV, Orlando, Florida, 2025. |
207. | N. Alsadi, S. A. Gadsden, J. Yawney, Cognitive Sharding: Enhancing Blockchain Scalability and Efficiency through Cognitive Partitioning, 2025 SPIE Disruptive Technologies in Information Sciences IX, Orlando, Florida, 2025. |
206. | N. Alsadi, S. A. Gadsden, J. Yawney, Ethereum Blockchain-Driven Solutions for Smart Industries: A Simulation-Based Approach, 2025 SPIE Disruptive Technologies in Information Sciences IX, Orlando, Florida, 2025. |
205. | N. Alsadi, S. A. Gadsden, J. Yawney, Decentralized Estimation for Satellite Systems: Enhancing Robustness and Reliability in Distributed Systems, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
204. | T. French, P. Kosierb, A. McCafferty-Leroux, Y. Wu, and S. A. Gadsden, Estimation strategies for fault detection in a 7-degree-of-freedom robotic system, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
203. | P. Kosierb, T. French, A. McCafferty-Leroux, Y. Wu, and S. A. Gadsden, Virtual sensors for end-effector contact on a 7-DOF robotic system, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
202. | W. Hilal, A. McCafferty-Leroux, S. A. Gadsden, and J. Yawney, Introduction of Higher Order Moments for Improved Kalman Filtering, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
201. | A. McCafferty-Leroux, A. Newton, and S. A. Gadsden, Design and experimental validation of a high-altitude 2-DoF robotic tracking system for the air-LUSI mission, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
200. | A. McCafferty-Leroux, Y. Wu, P. Kosierb, and S. A. Gadsden, Derivative-free model reference adaptive control of an uncertain satellite system based on RBF neural networks, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
199. | A. McCafferty-Leroux, B. Sicard, A. Giuliano, and S. A. Gadsden, An application of the cognitive control framework for fault-tolerant nanosatellite attitude control, 2025 SPIE Sensors and Systems for Space Applications XVIII, Orlando, Florida, 2025. |
198. | K. Obaideen, R. Appuhamy, W. Hilal, M. AlShabi, and S. A. Gadsden, Sensing Technologies for Agricultural Optimization: Trends in Food Quality and Safety, 2025 SPIE Sensing for Agriculture and Food Quality and Safety XVII, Orlando, Florida, 2025. |
197. | N. Grzelak and S. A. Gadsden, A Smart Automation Platform for Cultured Meat Advancement, 2025 SPIE Sensing for Agriculture and Food Quality and Safety XVII, Orlando, Florida, 2025. |
196. | A. McCafferty-Leroux, B. Sicard, S. A. Gadsden, and M. Al-Shabi, An Adaptive Estimation Strategy for Robust Cyber-Attack Detection and Control in Satellite Systems, 2025 IEEE 8th International Conference on Electrical, Control and Computer Engineering (InECCE), Kuantan, Malaysia, 2025. |
195. | B. Sicard, A. McCafferty-Leroux, and S. A. Gadsden, Digital Twin Enabled Performance Optimization of Machine Tools: A Survey, 2025 IEEE 8th International Conference on Electrical, Control and Computer Engineering (InECCE), Kuantan, Malaysia, 2025. |
194. | M. J. Baucas, Z. Xu, P. Spachos, and S. A. Gadsden, Formation Control Design for Remote Field Monitoring with IoT-Enabled Mobile Robots, 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Ontario, 2024. |
193. | B. Sicard, Y. Wu, and S. A. Gadsden, Digital Twin Enabled Asset Management of Machine Tools, 2024 IEEE International Conference on Prognostics and Health Management (ICPHM), Spokane, Washington, 2024. |
192. | S. A. Wilkerson, G. Sasaki, B. Nguyen, N. Roberts, and S. A. Gadsden, 2023 ASEE Workshop Combining Arduino and Matlab for Controls Experiments, 2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024. |
191. | Y. Wu, B. Sicard, P. Kosierb, and S. A. Gadsden, Parameter Identification in Magnetorheological Dampers via Physics-Informed Neural Networks, 2024 International IOT, Electronics and Mechatronics Conference (IEMTRONICS), London, UK, 2024. |
190. | A. McCafferty-Leroux, B. Sicard, S. A. Gadsden, and M. Al-Shabi, Robust Estimation Strategies for a Nonlinear Satellite System, 2024 International IOT, Electronics and Mechatronics Conference (IEMTRONICS), London, UK, 2024. |
189. | K. Obaideen, M. Al-Shabi, and S. A. Gadsden, Developing Cognitive Abilities in Robots: A Bibliometric Overview of AI and ML Applications, 2024 International IOT, Electronics and Mechatronics Conference (IEMTRONICS), London, UK, 2024. |
188. | K. Obaideen, M. Al-Shabi, and S. A. Gadsden, Kalman Filters in IoT: A Bibliometric Analysis, 2024 International IOT, Electronics and Mechatronics Conference (IEMTRONICS), London, UK, 2024. |
187. | W. Hilal, S. A. Gadsden, and M. Al-Shabi, Sliding mode and variable structure filters for signal processing: a comprehensive review, 2024 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, National Harbor, Maryland, 2024. |
186. | Z. Xu, W. Hilal, S. A. Gadsden, and M. Al-Shabi, A novel bioinspired tracking control method for mobile robots with the adaptive sliding innovation filter, 2024 SPIE Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure, National Harbor, Maryland, 2024. |
185. | R. Appuhamy, A. McCafferty-Leroux, B. Sicard, and S. A. Gadsden, Using estimation theory to optimize electric pump flow rates, 2024 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, National Harbor, Maryland, 2024. |
184. | R. Appuhamy, Y. Wu, F. Alderson, and S. A. Gadsden, Surface moisture detection using thermal imaging and computer vision, 2024 SPIE Thermosense: Thermal Infrared Applications XLVI, National Harbor, Maryland, 2024. |
183. | W. Hilal, A. McCafferty-Leroux, S. A. Gadsden, and M. Al-Shabi, Adaptive SIF-EKF estimation for fault detection in attitude control experiments, 2024 SPIE Sensors and Systems for Space Applications XVII, National Harbor, Maryland, 2024. |
182. | Y. Wu, B. Sicard, P. Kosierb, R. Appuhamy, and S. A. Gadsden, Physics-informed neural networks for modeling hysteretic behavior in magnetorheological dampers, 2024 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, National Harbor, Maryland, 2024. |
181. | Y. Wu, B. Sicard, P. Kosierb, A. McCafferty-Leroux, and S. A. Gadsden, Enhancing understanding and parameter identification in magnetorheological dampers through physics-informed recurrent neural networks, 2024 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, National Harbor, Maryland, 2024. |
180. | N. Alsadi, J. Yawney, and S. A. Gadsden, Integration of blockchain in smart systems: problems and opportunities for real-time sensor data storage, 2024 SPIE Disruptive Technologies in Information Sciences VIII, National Harbor, Maryland, 2024. |
179. | A. Giuliano, S. A. Gadsden, W. Hilal, and J. Yawney, Convolutional variational autoencoders for secure image compression in remote sensing, 2024 SPIE Sensors and Systems for Space Applications XVII, National Harbor, Maryland, 2024. |
178. | B. Sicard, A. McCafferty-Leroux, R. Appuhamy, A. Newton, P. Kosierb, and S. A. Gadsden, Digital unmanned aerial vehicles: applications of digital twins to UAVs, 2024 SPIE Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure, National Harbor, Maryland, 2024. |
177. | B. Sicard, Q. Butler, Y. Wu, S. M. Abdolahi, Y. Ziada, and S. A. Gadsden, Generating synthetic data for artificial intelligence solutions via a digital twin for condition monitoring in machine tools, 2024 SPIE Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, National Harbor, Maryland, 2024. |
176. | A. McCafferty-Leroux, A. Newton, and S. A. Gadsden, Parameter estimation and control of an automatic balancing system for CubeSat research and applications, 2024 SPIE Sensors and Systems for Space Applications XVII, National Harbor, Maryland, 2024. |
175. | A. McCafferty-Leroux and S. A. Gadsden, Smart systems approaches to networked control systems for satellites: a survey, 2024 SPIE Sensors and Systems for Space Applications XVII, National Harbor, Maryland, 2024. |
174. | Q. Butler, B. Sicard, Y. Ziada, and S. A. Gadsden, A higher-order unscented Kalman filter that captures cross-moments, 2024 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, National Harbor, Maryland, 2024. |
173. | M. Al-Shabi and S. A. Gadsden, Path planning for an unmanned ground vehicle using the Salp Swarm Algorithm, 2024 SPIE Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure, National Harbor, Maryland, 2024. |
172. | M. Al-Shabi and S. A. Gadsden, Estimation of an unmanned aerial vehicle using the robust sliding innovation filter, 2024 SPIE Unmanned Systems Technology XXVI, National Harbor, Maryland, 2024. |
171. | M. Al-Shabi and S. A. Gadsden, Parameter estimation of an unmanned aerial vehicle using the bio-inspired dandelion algorithm, 2024 SPIE Unmanned Systems Technology XXVI, National Harbor, Maryland, 2024. |
170. | B. Sicard, Q. Butler, P. Kosierb, Y. Wu, Y. Ziada, and S. A. Gadsden, Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System, 2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, Mount Pleasant, Michigan, 2023. |
169. | B. Sicard, Q. Butler, P. Kosierb, Y. Wu, Y. Ziada, and S. A. Gadsden, IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing, 2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, Mount Pleasant, Michigan, 2023. |
168. | B. Sicard, Q. Butler, S. A. Gadsden, and Y. Ziada, Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review, 2023 IEEE Conference on Prognostics and Health Management, Montreal, Quebec, 2023. |
167. | J. T. Woodward, T. C. Stone, K. R. Turpie, S. A. Gadsden, S. E. Maxwell, T. C. Larason, S. E. Grantham, and A. Newton, Producing Exo-atmospheric Fiduciary Reference Measurements of Lunar Spectral Irradiance from the Airborne Lunar Spectral Irradiance (air-LUSI) March 2022 Flight Campaign (Abstract Only), 2023 Meeting on Characterization and Radiometric Calibration for Remote Sensing (CALCON), Logan, Utah, 2023. |
166. | A. McCafferty-Leroux, A. Newton, and S. A. Gadsden, An improved nanosatellite attitude control simulator for experimental research, 2023 SPIE Sensors and Systems for Space Applications XVI, Orlando, Florida, 2023. |
165. | A. Newton, A. McCafferty-Leroux, S. A. Gadsden, and K. R. Turpie, Towards a second-generation robotic telescope mount for the air-LUSI instrument, 2023 SPIE Sensors and Systems for Space Applications XVI, Orlando, Florida, 2023. |
164. | N. Alsadi, W. Hilal, S. A. Gadsden, and M. Al-Shabi, Derivation of the sliding innovation information filter for target tracking, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
163. | A. S. Lee, W. Hilal, D. Ciampini, S. A. Gadsden, and M. Al-Shabi, A robust fault detection and identification strategy for aerospace systems, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
162. | M. Al-Shabi, S. A. Gadsden, and K. Obaideen, Sliding innovation filter to estimate power converters of electric vehicles, 2023 SPIE Energy Harvesting and Storage: Materials, Devices, and Applications XIII, Orlando, Florida, 2023. |
161. | N. Alsadi, A. Giuliano, S. A. Gadsden, and J. Yawney, An adaptive approach to blockchain in smart system applications, 2023 SPIE Big Data: Learning, Analytics, and Applications V, Orlando, Florida, 2023. |
160. | A. Giuliano, W. Hilal, N. Alsadi, J. Yawney, and S. A. Gadsden, Normalized determinant pooling layer in CNNs for multi-label classification, 2023 SPIE Computational Imaging VII, Orlando, Florida, 2023. |
159. | C. Wilkinson, W. Hilal, S. A. Gadsden, and J. Yawney, Facial feature tracking method using a hybrid model of the Kalman filter and the sliding innovation filter, 2023 SPIE Real-Time Image Processing and Deep Learning, Orlando, Florida, 2023. |
158. | M. Al-Shabi, S. A. Gadsden, and K. Obaideen, The extended Luenberger sliding innovation filter, 2023 SPIE Radar Sensor Technology XXVII, Orlando, Florida, 2023. |
157. | N. Alsadi, S. A. Gadsden, and J. Yawney, A cognitive dynamics framework for practical blockchain applications, 2023 SPIE Disruptive Technologies in Information Sciences VI, Orlando, Florida, 2023. |
156. | W. Hilal, N. Alsadi, S. A. Gadsden, and M. Al-Shabi, An adaptive SIF and KF estimation strategy for fault detection based on the NIS metric, 2023 SPIE Sensors and Systems for Space Applications XVI, Orlando, Florida, 2023. |
155. | M. Al-Shabi, K. Obaideen, and S. A. Gadsden, The formulation of the sequential sliding innovation filter and its application to complex road maneuvering, 2023 SPIE Sensors and Systems for Space Applications XVI, Orlando, Florida, 2023. |
154. | W. Hilal, S. A. Gadsden, and J. Yawney, A machine learning-based state estimation approach for varying noise distributions, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
153. | M. Al-Shabi, K. Obaideen, A. E. Nady, S. A. Gadsden, and T. Bonny, Sliding innovation filter for micorgrid application, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
152. | M. Al-Shabi, K. Obaideen, and S. A. Gadsden, Estimating the complex maneuvering of a UGV using IMM-SIF, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
151. | M. Al-Shabi, T. Bonny, and S. A. Gadsden, FPGA to study the behavior of a manipulator using sliding innovation filter, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
150. | Q. Butler, W. Hilal, B. Sicard, Y. Ziada, and S. A. Gadsden, Generalizing the unscented Kalman filter for state estimation, 2023 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, Orlando, Florida, 2023. |
149. | B. Sicard, Q. Butler, Y. Ziada, and S. A. Gadsden, Cognitive dynamic digital twin: enhancements for digital twin platforms based on human cognition, 2023 SPIE Big Data: Learning, Analytics, and Applications V, Orlando, Florida, 2023. |
148. | S. A. Wilkerson, S. A. Gadsden, and A. S. Lee, Developing Experiments to Teach Control Theory, 2023 ASEE Annual Conference & Expostion, Baltimore, Maryland, 2023. |
147. | W. Hilal, G. M. Bone, S. A. Gadsden, and M. Al-Shabi, Motion Control of a Differential Drive Mobile Robot Considering Voltage and Current Limits, 2023 ASET International Conference on Mechatronics, Industry 4.0, IoT and their Applications, Dubai, UAE, 2023. |
146. | N. Alsadi, G. M. Bone, S. A. Gadsden, and M. Al-Shabi, Control of Mobile Robots for Collision Avoidance, 2023 ASET International Conference on Mechatronics, Industry 4.0, IoT and their Applications, Dubai, UAE, 2023. |
145. | A. Giuliano, G. M. Bone, S. A. Gadsden, and M. Al-Shabi, A Comparative Analysis of Control Methods Applied to Horizontal 2 DOF Robotic Arms, 2023 ASET International Conference on Mechatronics, Industry 4.0, IoT and their Applications, Dubai, UAE, 2023. |
144. | M. Al-Shabi and S. A. Gadsden, Linear Estimation Strategies Applied to a Spring-Mass-Damper System, 2023 ASET International Conference on Mechatronics, Industry 4.0, IoT and their Applications, Dubai, UAE, 2023. |
143. | M. Al-Shabi and S. A. Gadsden, Estimating the Behaviour of a Prismatic-Revolute Robot using a Robust Filtering Strategy, 2023 ASET International Conference on Mechatronics, Industry 4.0, IoT and their Applications, Dubai, UAE, 2023. |
142. | M. Al-Shabi and S. A. Gadsden, The Extended Innovation Kalman-Sliding Filter: A Nonlinear Estimation Strategy, 2023 ASET International Conference on Mechatronics, Industry 4.0, IoT and their Applications, Dubai, UAE, 2023. |
141. | J. T. Woodward, J. P. Rice, S. W. Brown, K R. Turpie, S. A. Gadsden, and T. C. Stone, Development of the Moon as a Celestial Standard Candle to Support Climate-Quality Earth Remote Sensing Requirements (Abstract Only), 2022 Meeting on Characterization and Radiometric Calibration for Remote Sensing (CALCON), Logan, Utah, 2022. |
140. | K. R. Turpie, J. T. Woodward, T. Stone, S. W. Brown, S. A. Gadsden, S. E. Grantham, T. C. Larason, S. E. Maxwell, and A. Newton, airborne LUnar Spectral Irradiance (air-LUSI) Mission: First Operational Campaign (Abstract Only), 2022 Meeting on Characterization and Radiometric Calibration for Remote Sensing (CALCON), Logan, Utah, 2022. |
139. | W. Hilal, A. Giuliano, S. A. Gadsden, and J. Yawney, A Review of Cognitive Dynamic Systems and Its Overarching Functions, 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, Ontario, 2022. |
138. | B. Sicard, N. Alsadi, P. Spachos, Y. Ziada, and S. A. Gadsden, Predictive Maintenance and Condition Monitoring in Machine Tools: An IoT Approach, 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, Ontario, 2022. |
137. | A. Giuliano, W. Hilal, N. Alsadi, S. A. Gadsden, and J. Yawney, A Review of Cognitive Dynamic Systems and Cognitive IoT, 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, Ontario, 2022. |
136. | I. Spotts, C. H. Brodie, C. A. Leclerc, N. Jahed, D. Saeedkia, S. A. Gadsden, M. Al-Shabi, and C. Collier, Terahertz Extended Kalman Filtering Method, 2022 Photonics North, Niagara Falls, Ontario, 2022. |
135. | S. A. Wilkerson, S. A. Gadsden, and A. S. Lee, Using Project Based Learning (PBL) with Control Theory, 2022 ASEE Annual Conference & Exposition, Minneapolis, Minnesota, 2022. |
134. | A. Newton, E. Hill, S. A. Gadsden, and M. Biglarbegian, Development of a Nanosatellite Attitude Control Simulator for Ground-based Research, 2022 SPIE Sensors and Systems for Space Applications XV, Orlando, Florida, 2022. |
133. | A. Newton, S. Maxwell, S. A. Gadsden, and K. Turpie, Air-LUSI: An Autonomous Robotic Telescope for Lunar Spectral Irradiance Measurements, 2022 SPIE Advanced Optics for Imaging Applications: UV through LWIR VII, Orlando, Florida, 2022. |
132. | Q. Butler, B. Sicard, Y. Ziada, D. Stephenson, and S. A. Gadsden, Rapid Parameter Estimation and Monitoring of CNC Feed Drive Systems, 2022 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, Orlando, Florida, 2022. |
131. | S. A. Gadsden, M. Al-Shabi, and S. A. Wilkerson, A Square-Root Formulation of the Sliding Innovation Filter for Target Tracking, 2022 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, Orlando, Florida, 2022. |
130. | S. A. Gadsden, M. Al-Shabi, and S. A. Wilkerson, Combined Particle and Smooth Innovation Filtering for Nonlinear Estimation, 2022 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, Orlando, Florida, 2022. |
129. | M. Al-Shabi and S. A. Gadsden, A Multiple Model-based Sliding Innovation Filter and its Application on an Aerospace System, 2022 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, Orlando, Florida, 2022. |
128. | M. Al-Shabi and S. A. Gadsden, The Luenberger Sliding Innovation filter for Linear Systems with Missing Information, 2022 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, Orlando, Florida, 2022. |
127. | M. Al-Shabi and S. A. Gadsden, Application of the Sliding Innovation Filter to the Complex Road Estimation Problem, 2022 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, Orlando, Florida, 2022. |
126. | N. Alsadi, W. Hilal, O. Surucu, S. A. Gadsden, and J. Yawney, Deep Agent-Based Image Registration, 2022 SPIE Big Data IV: Learning, Analytics, and Applications, Orlando, Florida, 2022. |
125. | A. Giuliano, W. Hilal, O. Surucu, N. Alsadi, S. A. Gadsden, and J. Yawney, Efficient Utilization of Big Data in Distributed IoT Architectures Leveraging Blockchain and Cognitive Dynamic Systems, 2022 SPIE Big Data IV: Learning, Analytics, and Applications, Orlando, Florida, 2022. |
124. | N. Alsadi, W. Hilal, O. Surucu, S. A. Gadsden, J. Yawney, and M. Al-Shabi, Neural Network Training Loss Optimization utilizing the Sliding Innovation Filter, 2022 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, Orlando, Florida, 2022. |
123. | N. Alsadi, S. A. Gadsden, and J. Yawney, Deep Reinforcement Learning for Visual Attention in Malware Classification, 2022 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, Orlando, Florida, 2022. |
122. | W. Hilal, O. Surucu, N. Alsadi, A. Giuliano, S. A. Gadsden, and J. Yawney, Minority Class Data Augmentation using GANs to Improve the Detection of Anomalies in Critical Operations, 2022 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, Orlando, Florida, 2022. |
121. | O. Surucu, W. Hilal, N. Alsadi, A. Giuliano, U. Yeprem, S. A. Gadsden, and J. Yawney, Remaining Useful Life (RUL) Prediction for Military Systems Using Machine Learning, 2022 SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, Orlando, Florida, 2022. |
120. | N. Alsadi, W. Hilal, O. Surucu, A. Giuliano, S. A. Gadsden, and J. Yawney, A Deep Blockchain Strategy for Secure IoT Networks, 2022 SPIE Security, Robustness, and Trust in Artificial Intelligence and Distributed Architectures, Orlando, Florida, 2022. |
119. | O. Surucu, W. Hilal, N. Alsadi, A. Giuliano, U. Yeprem, S. A. Gadsden, and J. Yawney, Vulnerability Detection in Smart Contracts Using Deep Learning, 2022 SPIE Security, Robustness, and Trust in Artificial Intelligence and Distributed Architectures, Orlando, Florida, 2022. |
118. | W. Hilal, N. Alsadi, O. Surucu, A. Giuliano, S. A. Gadsden, and J. Yawney, An Attention-based Deep Learning Framework for Insider Threat Detection, 2022 SPIE Security, Robustness, and Trust in Artificial Intelligence and Distributed Architectures, Orlando, Florida, 2022. |
117. | A. YoosefDoost, S. M. Tahsien, S. A. Gadsden, W. D. Lubitz, and M. Kaviani, Artificial Neural Networks and Extended Kalman Filter for Easy-to-Implement Runoff Estimation Models, 2022 Canadian Society for Civil Engineering (CSCE) Annual Conference, Whistler, British Columbia, 2022. |
116. | I. Spotts, C. H. Brodie, S. A. Gadsden, M. Al-Shabi, and C. Collier, A Comparison of Nonlinear Filtering Methods for Blackbody Radiation Applications in Photonics, 2021 SPIE Optics and Photonics for Information Processing XV, San Diego, California, 2021. |
115. | E. Hill, M. Biglarbegian, and S. A. Gadsden, Tube-Based Model Predictive Control of Small Satellite Systems with Uncertainty Dynamics, 2021 Canadian Society for Mechanical Engineering International Congress, Charlottetown, PEI, 2021. |
114. | S. A. Gadsden, S. A. Wilkerson, and M. Al-Shabi, Fault Detection of a Mechatronic System using Interacting Multiple Operating Modes, 2021 Canadian Society for Mechanical Engineering International Congress, Charlottetown, PEI, 2021. |
113. | A. S. Lee, S. A. Gadsden, S. A. Wilkerson, and M. Al-Shabi, An Adaptive Variable Structured-Based Filter using Multiple Models, 2021 Canadian Society for Mechanical Engineering International Congress, Charlottetown, PEI, 2021. |
112. | Z. Xu, S. X. Yang, S. A. Gadsden, J. Li, and D. Zhu, Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics, 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021. |
111. | E. Hill, S. A. Gadsden, and M. Biglarbegian, Adaptive Control Strategies based on the Unscented Kalman Filter and Interacting Multiple Models, 2021 ASME/IEEE American Control Conference (ACC), New Orleans, Louisiana, 2021. |
110. | K. R. Turpie, S. W. Brown, J. T. Woodward, T. Stone, S. A. Gadsden, S. E. Grantham, T. C. Larason, S. E. Maxwell, A. Cataford, and A. Newton, Air-LUSI: Supporting Advancement of the Moon as a Reference for Earth Observations from Space (Abstract Only), 2021 EGU General Assembly, Online, 2021. |
109. | K. R. Turpie, S. Brown, J. T. Woodward, S. A. Gadsden, T. C. Stone, S. E. Grantham, T. C. Larason, S. E. Maxwell, and A. Newton, Measurements of Absolute, SI Traceable Lunar Irradiance with the Airborne Lunar Spectral Irradiance (air-LUSI) Mission (Abstract Only), 2021 International Conference on New Developments and Applications in Optical Radiometry (NEWRAD), Boulder, Colorado, 2021. |
108. | S. A. Wilkerson, S. A. Gadsden, and A. D. Gadsden, Project Based Capstone Design Projects Amidst Covid-19 Restrictions, 2021 ASEE Annual Conference & Exposition, Long Beach, California, 2021. |
107. | S. A. Gadsden, M. Al-Shabi, and A. S. Lee, Development of a Higher-Order Sliding Innovation Filter for an Aerospace System, 2021 SPIE Sensors and Systems for Space Applications XIV, Orlando, Florida, 2021. |
106. | M. Al Shabi, S. A. Gadsden, M. El Haj Assad, B. Khuwaileh, and S. A. Wilkerson, Application of the Sliding Innovation Filter to Unmanned Aerial Systems, 2021 SPIE Unmanned Systems Technology XXIII, Orlando, Florida, 2021. |
105. | M. Al Shabi, S. A. Gadsden, M. El Haj Assad, and B. Khuwaileh, The Two-Pass Sliding Innovation Smoother, 2021 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, Orlando, Florida, 2021. |
104. | M. Al Shabi, S. A. Gadsden, M. El Haj Assad, and B. Khuwaileh, A Multiple Model-based Sliding Innovation Filter, 2021 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, Orlando, Florida, 2021. |
103. | M. Al Shabi, S. A. Gadsden, M. El Haj Assad, and B. Khuwaileh, Application of the Sliding Innovation Filter for Fault Detection and Diagnosis of an Electromechanical System, 2021 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, Orlando, Florida, 2021. |
102. | M. Al Shabi, S. A. Gadsden, M. El Haj Assad, and B. Khuwaileh, A Comparison of Sigma-Point Kalman Filters on an Aerospace Actuator, 2021 SPIE Sensors and Systems for Space Applications XIV, Orlando, Florida, 2021. |
101. | S. A. Gadsden and M. Al-Shabi, A Study of Variable Structure and Sliding Mode Filters for Robust Estimation of Mechatronic Systems, 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Vancouver, British Columbia, 2020. |
100. | A. S. Lee, S. A. Gadsden, and M. Al-Shabi, Application of Nonlinear Estimation Strategies on a Magnetorheological Suspension System with Skyhook Control, 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Vancouver, British Columbia, 2020. |
99. | B. M. Dyer, T. R. Smith, S. A. Gadsden, and M. Biglarbegian, Filtering Strategies for State Estimation of Omniwheel Robots, 2020 IEEE International Conference on Mechatronics and Automation, Beijing, China, 2020. |
98. | A. Newton, E. Hill, S. A. Gadsden, M. Biglarbegian, and S. Yang, Investigating Reaction Wheel Configuration and Control Law Pairings for CubeSats in the Presence of Faults, 2020 Progress in Canadian Mechanical Engineering (CSME), Charlottetown, PEI, 2020. |
97. | A. Newton, S. Maxwell, S. A. Gadsden, and K. Turpie, Air-LUSI: Performance Analysis of a High-Altitude Robotic Telescope used for Tracking the Moon, 2020 Progress in Canadian Mechanical Engineering (CSME), Charlottetown, PEI, 2020. |
96. | A. S. Lee and S. A. Gadsden, Application and Comparison of Nonlinear Estimation Strategies on a Magnetorheological Hysteretic Force Model, 2020 Progress in Canadian Mechanical Engineering (CSME), Charlottetown, PEI, 2020. |
95. | G. Hall, A. S. Lee, and S. A. Gadsden, Development of a Control and Estimation Strategy for a Six-Link Robot Manipulator, 2020 Progress in Canadian Mechanical Engineering (CSME), Charlottetown, PEI, 2020. |
94. | S. A. Wilkerson, E. Hill, A. D. Gadsden, and S. A. Gadsden, 2020 York College of Pennsylvania Mechanical Engineering Design of a Radio Telescope, 2020 ASEE Annual Conference & Exposition, Montreal, Quebec, 2020. |
93. | S. A. Wilkerson, S. A. Gadsden, and E. Hill, Drones for a Project-Based Learning (PBL) Capstone Design, 2020 ASEE Annual Conference & Exposition, Montreal, Quebec, 2020. |
92. | K. R. Turpie, S. Brown, J. T. Woodward, T. C. Stone, S. A. Gadsden, A. Newton, S. E. Grantham, S. E. Maxwell, and T. C. Larason, air-LUSI Mission: Capability Demonstration (Abstract Only), 2020 Meeting on Characterization and Radiometric Calibration for Remote Sensing (CALCON), Logan, Utah, 2020. |
91. | K. R. Turpie, S. Brown, J. T. Woodward, S. A. Gadsden, T. C. Stone, and A. Newton, The airborne LUnar Spectral Irradiance (air-LUSI) Mission and Calibration of Ocean Observations from Space (Abstract Only), 2020 Ocean Sciences Meeting, San Diego, California, 2020. |
90. | I. Alomari, A. Rahimnejad, S. A. Gadsden, M. Moussa, and H. Karimipour, Power System Dynamic State Estimation Using Smooth Variable Structure Filter, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, Ontario, 2019. |
89. | Z. Xu, S. A. Gadsden, C. Y. Su, and S. X. Yang, A Novel Tracking Control of Mobile Robots Based on Bioinspired Neurodynamics and Unscented Kalman Filter, 2019 8th International Conference on Systems and Control (ICSC), Marrakesh, Morocco, 2019. |
88. | A. R. M. Siddique, S. Mahmud, S. A. Gadsden, and B. Van Heyst, Heat Flux Analysis of a Li-Ion Cell During Charging and Discharging Periods, 2019 CSME International Congress, London, Ontario, 2019. |
87. | C. Bourque, A. S. Lee, E. Hill, A. Bardelcik, S. A. Gadsden, and M. Biglarbegian, Kalman Filtering and PID Control of an Inverted Pendulum Robot, 2019 CSME International Congress, London, Ontario, 2019. |
86. | K. Turpie, S. Brown, J. Woodward, S. A. Gadsden, T. Stone, and G. Eplee, air-LUSI Measuring Lunar Spectral Irradiance from a High-Altitude Aircraft (Abstract Only), 2019 Meeting on Characterization and Radiometric Calibration for Remote Sensing (CALCON), Logan, Utah, 2019. |
85. | S. A. Wilkerson, A. D. Gadsden, and S. A. Gadsden, Enticing High School Students into STEM Careers using Drones and Robotic Projects, 2019 ASEE Annual Conference & Exposition, Buffalo, NY, 2019. |
84. | A. Cataford, S. A. Gadsden, and K. Turpie, Air-LUSI: Autonomous Telescope Design for Lunar Spectral Irradiance Measurements, 2019 SPIE Advanced Optics for Imaging Applications: UV through LWIR IV, Baltimore, Maryland, 2019. |
83. | A. S. Lee, S. A. Gadsden, and S. A. Wilkerson, An Adaptive Smooth Variable Structure Filter based on the Static Multiple Model Strategy, 2019 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, Baltimore, Maryland, 2019. |
82. | J. Goodman, S. A. Wilkerson, C. Eggleton, and S. A. Gadsden, A Multiple Model Adaptive SVSF-KF Estimation Strategy, 2019 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, Baltimore, Maryland, 2019. |
81. | S. A. Wilkerson, S. A. Gadsden, J. Cerreta, and M. Al-Shabi, Drone Based Technologies for Assessing Modern Farming Practices in Undergraduate Research, 2019 SPIE Environmental Sensing and Occupational Safety, Baltimore, Maryland, 2019. |
80. | I. Baek, C. Eggleton, S. A. Gadsden, and M. S. Kim, Selection of Optimal Bands for Developing Multispectral System for Inspecting Apples for Defects, 2019 SPIE Sensing for Agriculture and Food Quality and Safety XI, Baltimore, Maryland, 2019. |
79. | Y. Faroukh, L. Berrim, M. Al-Shabi, S. A. Gadsden, and S. A. Wilkerson, Studying the Effect of Current on an Electric-Powered Ducted Fan using Artificial Neural Networks, 2019 SPIE Energy Harvesting IV, Baltimore, Maryland, 2019. |
78. | K. Turpie, S. Brown, J. Woodward, S. A. Gadsden, T. Stone, and G. Eplee, Airborne LUnar Spectral Irradiance (air-LUSI) Mission (Abstract Only), 2018 Meeting on Characterization and Radiometric Calibration for Remote Sensing (CALCON), Logan, Utah, 2018. |
77. | E. Hill, A. S. Lee, A. D. Gadsden, S. A. Gadsden, and S. A. Wilkerson, Take Flight Robotics: A STEM-Education Workshop for High School Students, 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018. |
76. | S. A. Wilkerson, A. S. Lee, E. Hill, A. D. Gadsden, and S. A. Gadsden, ROS as an Undergraduate Project-Based Learning Enabler, 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018. |
75. | J. Chittle, M. Biglarbegian, and S. A. Gadsden, Mobile Robot Tracking using an Overhead Camera and Sensor Fusion, 2018 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Quebec City, Quebec, 2018. |
74. | A. Cataford, S. A. Gadsden, K. Turpie, and M. Biglarbegian, Air-LUSI: Estimation, Filtering, and PID Tracking Simulation, 2018 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Quebec City, Quebec, 2018. |
73. | H. Y. Chiang, A. Buin, F. Ahmadpour, and S. A. Gadsden, Modeling and Estimation of Reaction Constants in Hydrogen Peroxide Deterioration Reactions, 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, Toronto, Ontario, 2018. |
72. | R. Bustos, A. R. M. Siddique, T. Cheema, S. A. Gadsden, and S. Mahmud, State of Charge and Parameter Estimation of Electric Vehicle Batteries, 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, Toronto, Ontario, 2018. |
71. | S. Rossi and S. A. Gadsden, Sensor Filtering and Position Tracking of a Simulated Planar Bipedal Robot, 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, Toronto, Ontario, 2018. |
70. | B. Xu, Y. Lyu, and S. A. Gadsden, Estimation and Control of a Double-Inverted Pendulum, 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, Toronto, Ontario, 2018. |
69. | S. A. Wilkerson, A. D. Gadsden, and S. A. Gadsden, An Unmanned Aerial System for the Detection of Crops with Undergraduate Project-Based Learning, 2018 SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III, Orlando, Florida, 2018. |
68. | I. Baek, S. A. Gadsden, and M. S. Kim, Development of Online Whole-Surface Apple Inspection System using Line-Scan Hyperspectral Imaging Technology, 2018 SPIE Sensing for Agriculture and Food Quality and Safety X, Orlando, Florida, 2018. |
67. | S. A. Gadsden, An Adaptive PID Controller Based on Bayesian Theory, 2017 ASME Dynamic Systems and Control Conference, Tysons Corner, Virginia, 2017. |
66. | J. Kim, S. Bonadies, A. S. Lee, and S. A. Gadsden, A Cooperative Exploration Strategy with Efficient Backtracking for Mobile Robots, 2017 IEEE International Symposium on Robotics and Intelligent Sensors, Ottawa, Ontario, 2017. |
65. | M. Al-Shabi, A. Cataford, and S. A. Gadsden, Quadrature Kalman Filters with Applications to Robotic Manipulators, 2017 IEEE International Symposium on Robotics and Intelligent Sensors, Ottawa, Ontario, 2017. |
64. | E. Hill, A. S. Lee, S. A. Gadsden, and M. Al-Shabi, Intelligent Estimation Strategies Applied to a Flight Surface Actuator, 2017 IEEE International Symposium on Robotics and Intelligent Sensors, Ottawa, Ontario, 2017. |
63. | K. Chang, J. Kim, and S. A. Gadsden, Motion Capture Control of a Nano Quadcopter, 2017 LACCEI International Multi-Conference for Engineering, Education, and Technology, Boca Raton, Florida, 2017. |
62. | S. A. Gadsden and T. Kirubarajan, Development of a Variable Structure-Based Fault Detection and Diagnosis Strategy Applied to an Electromechanical System, 2017 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, Anaheim, California, 2017. |
61. | J. Goodman, J. Kim, A. S. Lee, S. A. Gadsden, and M. Al-Shabi, Nonlinear Estimation Strategies Applied on an RRR Robotic Manipulator, 2017 IEEE International Conference on Artificial Life and Robotics, Miyazaki, Japan, 2017. |
60. | J. Kim, A. S. Lee, K. Chang, B. Schwarz, S. A. Gadsden, and M. Al-Shabi, Dynamic Modeling and Motion Control of a Three-Link Robotic Manipulator, 2017 IEEE International Conference on Artificial Life and Robotics, Miyazaki, Japan, 2017. |
59. | A. S. Lee, K. Chang, S. A. Wilkerson, C. Korpela, and S. A. Gadsden, Aerial Swarms as Asymmetric Threats, 2016 International Conference on Unmanned Aircraft Systems, Arlington, Virginia, 2016. |
58. | J. Kim, S. A. Gadsden, and S. A. Wilkerson, Adaptive Integral Sliding Mode Controller for Longitudinal Rotation Control of a Tilt-Rotor Aircraft, 2016 IEEE Mediterranean Conference on Control and Automation (MED), Athens, Greece, 2016. |
57. | M. Kajkouj, S. AlShaer, M. Al-Shabi, S. A. Gadsden, and A. S. Lee, SURF and Image Processing Techniques Applied to an Autonomous Overhead Crane, 2016 IEEE Mediterranean Conference on Control and Automation (MED), Athens, Greece, 2016. |
56. | S. A. Gadsden, H. Afshari, and S. R. Habibi, Development of a Sliding Mode Controller and Higher-Order Structure-Based Estimator, 2016 IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, Michigan, 2016. |
55. | A. M. Lefcourt, R. Kistler, and S. A. Gadsden, Automated Cart-Mounted Hyperspectral LIF Imaging System for Detection of Fecal Materials in Produce Fields, 2016 SPIE Spectral Sensing Applications II, Baltimore, Maryland, 2016. |
54. | I. Baek, S. A. Gadsden, B. K. Cho, H. Lee, and M. S. Kim, Whole-surface Round Object Imaging Method using Line-scan Hyperspectral Imaging System, 2016 SPIE Sensing for Agriculture and Food Quality and Safety VIII, Baltimore, Maryland, 2016. |
53. | A. S. Lee, D. Hanlon, R. Sakai, V. Morris, B. Demoz, and S. A. Gadsden, Development of an Autonomous Unmanned Aerial System for Atmospheric Data Collection and Research, 2016 SPIE Advanced Environmental, Chemical, and Biological Sensing Technologies XIII, Baltimore, Maryland, 2016. |
52. | S. Bonadies, A. Lefcourt, and S. A. Gadsden, A Survey of Unmanned Ground Vehicles with Applications to Agricultural and Environmental Sensing, 2016 SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Baltimore, Maryland, 2016. |
51. | D. Hanlon, A. S. Lee, S. A. Wilkerson, M. Al-Shabi, and S. A. Gadsden, Implementing a Dynamometer System on Electric Motors for Unmanned Systems, 2016 SPIE Unmanned Systems Technology XVIII, Baltimore, Maryland, 2016. |
50. | M. Al-Shabi, K. Hatamleh, S. AlShaer, I. Salameh, and S. A. Gadsden, A Comprehensive Comparison of Sigma-Point Kalman Filters applied on a Complex Maneuvering Road, 2016 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, Baltimore, Maryland, 2016. |
49. | J. Goodman, J. McKay, W. Evans, and S. A. Gadsden, Proposed Tethered Unmanned Aerial System for the Detection of Pollution Entering the Chesapeake Bay Area, 2016 SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Baltimore, Maryland, 2016. |
48. | A. S. Lee, E. Habtour, and S. A. Gadsden, Proposed Health State Awareness of Helicopter Blades using an Artificial Neural Network Strategy, 2016 SPIE Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, Baltimore, Maryland, 2016. |
47. | K. Chang, P. Rammos, S. A. Wilkerson, M. Bundy, and S. A. Gadsden, LiPo Battery Energy Studies for Improved Flight Performance of Unmanned Aerial Systems, 2016 SPIE Unmanned Systems Technology XVIII, Baltimore, Maryland, 2016. |
46. | C. Korpela, P. Root, J. Kim, S. A. Wilkerson, and S. A. Gadsden, A Framework for Autonomous and Continuous Aerial Intelligence, Surveillance, and Reconnaissance Operations, 2016 SPIE Airborne Intelligence, Surveillance, Reconnaissance Systems and Applications XIII, Baltimore, Maryland, 2016. |
45. | J. Kim, S. A. Wilkerson, and S. A. Gadsden, Comparison of Gradient Methods for Gain Tuning of a PD Controller Applied on a Quadrotor System, 2016 SPIE Unmanned Systems Technology XVIII, Baltimore, Maryland, 2016. |
44. | S. A. Gadsden and M. Al-Shabi, A Comparison of Vibration Control Strategies for a Flexible-Link Robot Arm, 2015 IEEE International Symposium on Mechatronics and its Applications (ISMA), Sharjah, UAE, 2015. |
43. | S. A. Gadsden and H. H. Afshari, A Review of Smooth Variable Structure Filters: Recent Advances in Theory and Applications, 2015 ASME International Mechanical Engineering Congress and Exposition (IMECE), Houston, Texas, 2015. |
42. | H. H. Afshari, S. A. Gadsden, R. Ahmed, and S. R. Habibi, State of Charge (SOC) Estimation of Li-Ion Batteries using the Dynamic 2nd-Order Smooth Variable Structure Filter, 2015 Canadian Congress of Applied Mechanics (CANCAM), London, Ontario, 2015. |
41. | H. H. Afshari, S. A. Gadsden, and S. R. Habibi, Condition Monitoring of an Electro-Hydrostatic Actuator using the Dynamic 2nd-Order SVSF, 2015 ASME International Design Engineering Technical Conferences and Computers & Information in Engineering Conference, Boston, Massachusetts, 2015. |
40. | S. A. Gadsden, M. Al-Shabi, and T. Kirubarajan, Two-Pass Smoother Based on the SVSF Estimation Strategy, 2015 SPIE Sensor/Information Fusion, and Target Recognition XXIV, Baltimore, Maryland, 2015. |
39. | S. A. Gadsden, M. Al-Shabi, and T. Kirubarajan, Square-Root Formulation of the SVSF with Target Tracking Applications, 2015 SPIE Sensor/Information Fusion, and Target Recognition XXIV, Baltimore, Maryland, 2015. |
38. | J. Goodman, J. Kim, S. A. Wilkerson, and S. A. Gadsden, Mathematical Modeling and System Identification of an Unmanned Aerial System, 2015 SPIE Unmanned Systems Technology XXVII, Baltimore, Maryland, 2015. |
37. | M. Al-Shabi, S. A. Gadsden, and S. A Wilkerson, The Cubature Smooth Variable Structure Filter applied to a Quadcopter, 2015 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, Baltimore, Maryland, 2015. |
36. | M. Attari, S. A. Gadsden, and S. R. Habibi, A Multi-Target Tracking Formulation of the SVSF with the Joint Probabilistic Data Association Technique, 2014 ASME Dynamic Systems and Control Conference (DSCC), San Antonio, Texas, 2014. |
35. | S. A. Gadsden and S. R. Habibi, State Estimation and Fault Detection of an Electrohydrostatic Actuator, 2014 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC), Bath, England, 2014. |
34. | S. A. Gadsden, M. Al-Shabi, and S. R. Habibi, A Fuzzy-Smooth Variable Structure Filtering Strategy for State Estimation, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Amman, Jordan, 2013. |
33. | M. Al-Shabi, S. A. Gadsden, and S. R. Habibi, The Toeplitz-Observability Smooth Variable Structure Filter, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Amman, Jordan, 2013. |
32. | S. A. Gadsden and S. R. Habibi, Fault Detection of an Electrohydrostatic Actuator with the SVSF Time-Varying Boundary Layer Concept, 2013 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC), Sarasota, Florida, 2013. |
31. | W. Zhang, S. A. Gadsden, and S. R. Habibi, Nonlinear Estimation of Stator Winding Resistance in a Brushless DC Motor, 2013 ASME/IEEE American Control Conference (ACC), Washington D.C., 2013. |
30. | M. Attari, S. A. Gadsden, and S. R. Habibi, Target Tracking Formulation of the SVSF as a Probabilistic Data Association Algorithm, 2013 ASME/IEEE American Control Conference (ACC), Washington D.C., 2013. |
29. | W. Zhang, S. A. Gadsden, and S. R. Habibi, A Wavelet-Based Smooth Variable Structure Filter, 2012 ASME Dynamic Systems and Control Conference (DSCC), Ft. Lauderdale, Florida, 2012. |
28. | Y. Song, S. A. Gadsden, S. A. Delbari, and S. R. Habibi, System Modelling and Bulk Modulus Estimation of an Electrohydrostatic Actuator, 2012 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC), Bath, England, 2012. |
27. | S. A. Gadsden, M. El Sayed, and S. R. Habibi, A Sliding Mode Controller Based on the Interacting Multiple Model Strategy, 2012 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC), Bath, England, 2012. |
26. | M. Farag, R. M. Ahmed, S. A. Gadsden, S. R. Habibi, and J. Tjong, A Comparative Study of Li-ion Battery Models and Nonlinear Dual Estimation Strategies, 2012 IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, Michigan, 2012. |
25. | R. M. Ahmed, S. A. Gadsden, M. El Sayed, S. R. Habibi, and J. Tjong, A Signal-Based Fault Detection and Classification Strategy with Application to an Internal Combustion Engine, 2012 IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, Michigan, 2012. |
24. | S. A. Gadsden, Y. Song, and S. R. Habibi, Mathematical Modeling and Fault Detection and Diagnosis of an Electrohydrostatic Actuator, 2012 ASME/IEEE American Control Conference (ACC), Montreal, Quebec, 2012. |
23. | S. A. Gadsden, Y. Song, K. R. McCullough, and S. R. Habibi, Friction Fault Detection of an Electrohydrostatic Actuator, 2011 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC), Washington D.C., 2011. |
22. | S. A. Gadsden, D. Dunne, S. R. Habibi, and T. Kirubarajan, Combined Particle and Smooth Variable Structure Filtering for Nonlinear Estimation Problems, 2011 International Conference on Information Fusion, Chicago, Illinois, 2011. |
21. | S. A. Gadsden and S. R. Habibi, Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle, 2011 IEEE Vehicle Power and Propulsion Conference (VPPC), Chicago, Illinois, 2011. |
20. | S. A. Gadsden, M. El Sayed, and S. R. Habibi, The Continuous-Time Smooth Variable Structure Filter, 23rd Canadian Congress of Applied Mechanics (CANCAM), Vancouver, British Columbia, 2011. |
19. | R. M. Ahmed, S. A. Gadsden, M. El Sayed, and S. R. Habibi, Fault Detection and Classification of an Electrohydrostatic Actuator Using a Neural Network Trained by the Smooth Variable Structure Filter, 23rd Canadian Congress of Applied Mechanics (CANCAM), Vancouver, British Columbia, 2011. |
18. | R. M. Ahmed, M. El Sayed, S. A. Gadsden, and S. R. Habibi, Fault Detection of an Engine Using a Neural Network Trained by the Smooth Variable Structure Filter, 2011 IEEE Multi-Conference on Systems and Control, Denver, Colorado, 2011. |
17. | S. A. Gadsden, M. El Sayed, and S. R. Habibi, Derivation of an Optimal Boundary Layer Width for the Smooth Variable Structure Filter, 2011 ASME/IEEE American Control Conference (ACC), San Francisco, California, 2011. |
16. | S. A. Gadsden, K. McCullough, and S. R. Habibi, Fault Detection and Diagnosis of an Electrohydrostatic Actuator Using a Novel Interacting Multiple Model Approach, 2011 ASME/IEEE American Control Conference (ACC), San Francisco, California, 2011. |
15. | S. A. Gadsden, D. Dunne, R. Tharmarasa, S. R. Habibi, and T. Kirubarajan, Application of the Smooth Variable Structure Filter to a Multi-Target Tracking Problem, 2011 SPIE Signal Processing, Sensor/Information Fusion, and Target Recognition XX, Orlando, Florida, 2011. |
14. | S. A. Gadsden and S. R. Habibi, Derivation of the Smooth Variable Structure Information Filter, 2010 ASME International Mechanical Engineering Congress and Exposition (IMECE), Vancouver, British Columbia, 2010. |
13. | S. A. Gadsden, M. Al-Shabi, I. Arasaratnam, and S. R. Habibi, Estimation Of An Electrohydrostatic Actuator Using A Combined Cubature Kalman and Smooth Variable Structure Filter, 2010 ASME International Mechanical Engineering Congress and Exposition (IMECE), Vancouver, British Columbia, 2010. |
12. | S. A. Gadsden and S. R. Habibi, A New Form of the Smooth Variable Structure Filter with a Covariance Derivation, 2010 IEEE Conference on Decision and Control (CDC), Atlanta, Georgia, 2010. |
11. | S. A. Gadsden, S. R. Habibi, and T. Kirubarajan, A Novel Interacting Multiple Model Method for Target Tracking, 2010 International Conference on Information Fusion, Edinburgh, Scotland, 2010. |
10. | V. Jouppila, S. A. Gadsden, and A. Ellman, Modeling and Identification of a Pneumatic Muscle Actuator System Controlled by an On/Off Solenoid Valve, 7th International Fluid Power Conference (IFP), Aachen, Germany, 2010. |
9. | S. A. Gadsden and S. R. Habibi, Target Tracking Using the Smooth Variable Structure Filter, 2009 ASME Dynamic Systems and Control Conference (DSCC), Hollywood, California, 2009. |
8. | S. A. Gadsden, D. Dunne, S. R. Habibi, and T. Kirubarajan, Comparison of Extended and Unscented Kalman, Particle, and Smooth Variable Structure Filters on a Bearing-Only Target Tracking Problem, 2009 SPIE Congress of Signal and Data Processing of Small Targets, San Diego, California, 2009. |
7. | V. Jouppila, S. A. Gadsden, G. Bone, and S. R. Habibi, Sliding Mode Controller and Filter Applied to a Pneumatic McKibben Muscle Actuator, 2009 ASME International Mechanical Engineering Congress and Exposition (IMECE), Lake Buena Vista, Florida, 2009. |
6. | S. A. Gadsden, D. Mohammed, and M. Al-Shabi, Regularized Least Squares: A Useful (Forgotten) Tool for Supervised and Semi-Supervised Learning, The 13th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI), Orlando, Florida, 2009. |
5. | S. A. Gadsden and S. R. Habibi, The Future of Automobiles: Cognitive Cars, 22nd Canadian Congress of Applied Mechanics (CANCAM), Halifax, Nova Scotia, 2009. |
4. | S. A. Gadsden and S. R. Habibi, Aircraft Tracking Using a Radar and the Smooth Variable Structure Filter, 22nd Canadian Congress of Applied Mechanics (CANCAM), Halifax, Nova Scotia, 2009. |
3. | S. A. Gadsden and S. R. Habibi, Aerodynamic Flutter and Flight Surface Actuation, 2007 ASME International Mechanical Engineering Congress and Exposition (IMECE), Seattle, Washington, 2007. |
2. | S. A. Gadsden, A Brief History and Philosophy of Mechanics, 21st Canadian Congress of Applied Mechanics (CANCAM), Toronto, Ontario, 2007. |
1. | S. A. Gadsden and S. R. Habibi, Effects of Aerodynamic Flutter on a Flight Surface Actuator, 21st Canadian Congress of Applied Mechanics (CANCAM), Toronto, Ontario, 2007. |