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ORCIDS. Andrew Gadsden
Stephen A. Gadsden – Stephen Andrew Gadsden
Person information
- affiliation: Korea Aerospace Research Institute, Daejeon, South Korea
- affiliation: University of Guelph, School of Engineering, Canada
- affiliation (2014 - 2016): versity of Maryland, Department of Mechanical Engineering, Baltimore, MD, USA
- affiliation (PhD 2011): McMaster University, Hamilton, ON, Canada
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2020 – today
- 2024
[j46]Ali Ammar, Naseem Alsadi, Jonathan D. Adachi, Stephen A. Gadsden, Cheryl 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). Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024)- [j45]Yuandi Wu
, Brett Sicard, Stephen Andrew Gadsden:
Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring. Expert Syst. Appl. 255: 124678 (2024) - [j44]Milad Gil, Ebrahim Akbari, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden:
Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. Intell. Syst. Appl. 23: 200398 (2024) - [j43]Andrew Sanghyun Lee, Yuandi Wu, Stephen Andrew Gadsden, Mohammad AlShabi:
Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper. Sensors 24(1): 251 (2024) - [j42]Sahab Edrisi, Javad Enayati, Abolfazl Rahimnejad, Stephen Andrew Gadsden:
A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets. Sensors 24(7): 2087 (2024) - [j41]Alexander Moksyakov, Yuandi Wu, Stephen Andrew Gadsden, John Yawney, Mohammad Al-Shabi:
Object Detection and Tracking with YOLO and the Sliding Innovation Filter. Sensors 24(7): 2107 (2024) - [j40]Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden:
Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. IEEE Trans. Cybern. 54(8): 4666-4677 (2024) - [j39]Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden:
Distributed Leader Follower Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. IEEE Trans. Ind. Informatics 20(2): 1180-1189 (2024) - [i11]Yuandi Wu, Brett Sicard, Stephen Andrew Gadsden:
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection. CoRR abs/2401.11860 (2024) - [i10]Jadyn Powell, Alex McCafferty-Leroux, Waleed Hilal, Stephen Andrew Gadsden:
Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends. CoRR abs/2401.13105 (2024) - [i9]Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden, Mohammad Biglarbegian:
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics. CoRR abs/2403.15716 (2024) - [i8]Alessandro Giuliano, S. Andrew Gadsden, Waleed Hilal, John Yawney:
Convolutional variational autoencoders for secure lossy image compression in remote sensing. CoRR abs/2404.03696 (2024) - 2023
- [j38]Naseem Alsadi, S. Andrew Gadsden, John Yawney:
Intelligent estimation: A review of theory, applications, and recent advances. Digit. Signal Process. 135: 103966 (2023) - [j37]Onur Surucu, Stephen Andrew Gadsden, John Yawney:
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances. Expert Syst. Appl. 221: 119738 (2023) - [j36]Yuandi Wu, S. Andrew Gadsden:
Machine learning algorithms in microbial classification: a comparative analysis. Frontiers Artif. Intell. 6 (2023) - [j35]Mojtaba Ghasemi, Abolfazl Rahimnejad, Ebrahim Akbari, Ravipudi Venkata Rao, Pavel Trojovský, Eva Trojovská, Stephen Andrew Gadsden:
A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA). PeerJ Comput. Sci. 9: e1431 (2023) - [j34]Abolfazl Rahimnejad, Ebrahim Akbari, Seyedali Mirjalili, Stephen Andrew Gadsden, Pavel Trojovský, Eva Trojovská:
An improved hybrid whale optimization algorithm for global optimization and engineering design problems. PeerJ Comput. Sci. 9: e1557 (2023) - [j33]Waleed Hilal, S. Andrew Gadsden, John Yawney:
Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances. Proc. IEEE 111(6): 575-622 (2023) - [j32]Cesar Wen Zhu, Elyse Hill, Mohammad Biglarbegian, S. Andrew Gadsden, John A. Cline:
Smart agriculture: Development of a skid-steer autonomous robot with advanced model predictive controllers. Robotics Auton. Syst. 162: 104364 (2023) - [j31]Javad Enayati, Abolfazl Rahimnejad, Luigi Vanfretti, Stephen Andrew Gadsden, Mohammad Al-Shabi:
Dynamic Harmonic Estimation Using a Novel Robust Filtering Strategy: Iterated Sliding Innovation Cubature Filter. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c19]Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden:
IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing. AIBThings 2023: 1-5 - [c18]Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden:
Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System. AIBThings 2023: 1-5 - [c17]Brett Sicard, Quade Butler, Youssef Ziada, S. Andrew Gadsden:
Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review. ICPHM 2023: 357-367 - [i7]Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden:
Distributed Leader Follower Formation Control of Mobile Robots based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. CoRR abs/2305.02288 (2023) - [i6]Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden:
Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. CoRR abs/2308.09326 (2023) - [i5]Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden, Faraz A. Alderson:
De-novo Chemical Reaction Generation by Means of Temporarily Convolutional Neural Networks. CoRR abs/2310.17341 (2023) - [i4]Stephen Andrew Gadsden, Mohammad Al-Shabi, Saeid Reza Habibi:
Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle. CoRR abs/2311.11107 (2023) - 2022
- [j30]Ali Esmaeel Nezhad, Abolfazl Rahimnejad, Pedro H. J. Nardelli, Stephen Andrew Gadsden, Subham Sahoo, Farideh Ghanavati:
A Shrinking Horizon Model Predictive Controller for Daily Scheduling of Home Energy Management Systems. IEEE Access 10: 29716-29730 (2022) - [j29]Waleed Hilal, S. Andrew Gadsden, John Yawney:
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances. Expert Syst. Appl. 193: 116429 (2022) - [j28]Waleed Hilal, Michael G. Chislett, Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden:
Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death. Frontiers Artif. Intell. 5 (2022) - [j27]Mohammad AlShabi, Stephen Andrew Gadsden:
Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy. Sensors 22(22): 8927 (2022) - [j26]Mojtaba Ghasemi, Ebrahim Akbari, Iraj Faraji Davoudkhani, Abolfazl Rahimnejad, Mohammad Bagher Asadpoor, Stephen Andrew Gadsden:
Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems. Soft Comput. 26(24): 13899-13923 (2022) - [i3]Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden:
A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics. CoRR abs/2209.01484 (2022) - 2021
- [j25]Mojtaba Ghasemi, Abolfazl Rahimnejad, Rasul Hemmati, Ebrahim Akbari, S. Andrew Gadsden:
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese. Array 11: 100074 (2021) - [j24]Mohammad Avzayesh, Mamoun F. Abdel-Hafez, Mohammad Al-Shabi, S. Andrew Gadsden:
The smooth variable structure filter: A comprehensive review. Digit. Signal Process. 110: 102912 (2021) - [j23]Marc Jayson Baucas, Stephen Andrew Gadsden, Petros Spachos:
IoT-Based Smart Home Device Monitor Using Private Blockchain Technology and Localization. IEEE Netw. Lett. 3(2): 52-55 (2021) - [j22]Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden, Faraz A. Alderson:
Permutationally Invariant Deep Learning Approach to Molecular Fingerprinting with Application to Compound Mixtures. J. Chem. Inf. Model. 61(2): 631-640 (2021) - [j21]Jinho Kim, Charles D. Eggleton, Stephen A. Wilkerson, S. Andrew Gadsden:
Cooperative Sensor-based Selective Graph Exploration Strategy for a Team of Quadrotors. J. Intell. Robotic Syst. 103(2): 24 (2021) - [j20]Andrew Sanghyun Lee, S. Andrew Gadsden, Mohammad Al-Shabi:
An Adaptive Formulation of the Sliding Innovation Filter. IEEE Signal Process. Lett. 28: 1295-1299 (2021) - [j19]Abolfazl Rahimnejad, S. Andrew Gadsden, Mohammad Al-Shabi:
Lattice Kalman Filters. IEEE Signal Process. Lett. 28: 1355-1359 (2021) - [j18]Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian:
Explicit Nonlinear MPC for Fault Tolerance Using Interacting Multiple Models. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2784-2794 (2021) - [j17]Brett Snider, Paige Phillips, Edward A. McBean, S. Andrew Gadsden, John Yawney:
Influence of Opening Up Daycare and Day Camps on Resurgence Potential of COVID-19 Pandemic: Assessing Infectivity Potential From Youth in Ontario, Canada. IEEE Trans. Comput. Soc. Syst. 8(4): 1052-1060 (2021) - [j16]Wonkeun Youn, Nak Yong Ko, Stephen Andrew Gadsden, Hyun Myung:
A Novel Multiple-Model Adaptive Kalman Filter for an Unknown Measurement Loss Probability. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c16]Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian:
Adaptive Control Strategies based on the Unscented Kalman Filter and Interacting Multiple Models. ACC 2021: 2442-2448 - [c15]Zhe Xu, Simon X. Yang, S. Andrew Gadsden, Junfei Li, Danjie Zhu:
Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics. ICRA 2021: 2113-2119 - [i2]Marc Jayson Baucas, Stephen Andrew Gadsden, Petros Spachos:
IoT-based Smart Home Device Monitor Using Private Blockchain Technology and Localization. CoRR abs/2103.15896 (2021) - 2020
- [j15]S. Andrew Gadsden, Mohammad Al-Shabi:
The Sliding Innovation Filter. IEEE Access 8: 96129-96138 (2020) - [j14]Zhe Xu, Simon X. Yang, S. Andrew Gadsden:
Enhanced Bioinspired Backstepping Control for a Mobile Robot With Unscented Kalman Filter. IEEE Access 8: 125899-125908 (2020) - [j13]John Yawney, Stephen Andrew Gadsden:
A Study of the COVID-19 Impacts on the Canadian Population. IEEE Access 8: 128240-128249 (2020) - [i1]Jinho Kim, S. Andrew Gadsden, Stephen A. Wilkerson:
A Comprehensive Survey of Control Strategies for Autonomous Quadrotors. CoRR abs/2005.09858 (2020)
2010 – 2019
- 2019
- [j12]Wonkeun Youn, Stephen Andrew Gadsden:
Combined Quaternion-Based Error State Kalman Filtering and Smooth Variable Structure Filtering for Robust Attitude Estimation. IEEE Access 7: 148989-149004 (2019) - [j11]Mohammad Al-Shabi, Khaled S. Hatamleh, Stephen A. Gadsden, Bassel Soudan, Amr Elnady:
Robust nonlinear control and estimation of a Prrr robot System. Int. J. Robotics Autom. 34(6) (2019) - [j10]Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi:
A nonlinear second-order filtering strategy for state estimation of uncertain systems. Signal Process. 155: 182-192 (2019) - [c14]Ibrahim Al-Omari, Abolfazl Rahimnejad, S. Andrew Gadsden, Medhat Moussa, Hadis Karimipour:
Power System Dynamic State Estimation Using Smooth Variable Structure Filter. GlobalSIP 2019: 1-5 - 2018
- [c13]Andrew Cataford, S. Andrew Gadsden, Kevin Turpie, Mohammad Biglarbegian:
Air-LUSI: Estimation, Filtering, and PID Tracking Simulation. CCECE 2018: 1-6 - [c12]Jake Chittle, S. Andrew Gadsden, Mohammad Biglarbegian:
Mobile Robot Motion Tracking Using Descriptor Matching and Sensor Fusion. CCECE 2018: 1-6 - 2017
- [j9]Jinho Kim, Kevin Chang, Brian Schwarz, Andrew Sanghyun Lee, S. Andrew Gadsden, Mohammad Al-Shabi:
Dynamic Model and Motion Control of a Robotic Manipulator. J. Robotics Netw. Artif. Life 4(2): 138-141 (2017) - [j8]Jacob Goodman, Jinho Kim, Andrew Sanghyun Lee, S. Andrew Gadsden, Mohammad Al-Shabi:
A Variable Structure-Based Estimation Strategy Applied to an RRR Robot System. J. Robotics Netw. Artif. Life 4(2): 142-145 (2017) - [j7]Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi:
Gaussian filters for parameter and state estimation: A general review of theory and recent trends. Signal Process. 135: 218-238 (2017) - [j6]Mina Attari, Saeid R. Habibi, Stephen Andrew Gadsden:
Target Tracking Formulation of the SVSF With Data Association Techniques. IEEE Trans. Aerosp. Electron. Syst. 53(1): 12-25 (2017) - 2016
- [j5]Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi:
Artificial neural network training utilizing the smooth variable structure filter estimation strategy. Neural Comput. Appl. 27(3): 537-548 (2016) - [c11]Jin H. Kim, S. Andrew Gadsden, Stephen A. Wilkerson:
Adaptive integral sliding mode controller for longitudinal rotation control of a tilt-rotor aircraft. MED 2016: 820-825 - [c10]Majdeddin Kajkouj, Samer Al-Shaer, Khaled S. Hatamleh, Iyad Salameh, Mohammad Al-Shabi, S. Andrew Gadsden, Andrew Sanghyun Lee:
SURF and image processing techniques applied to an autonomous overhead crane. MED 2016: 914-918 - 2015
- [j4]Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi:
Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques. IEEE Trans. Veh. Technol. 64(1): 21-33 (2015) - 2014
- [j3]S. Andrew Gadsden, Mohammad Al-Shabi, Ienkaran Arasaratnam, Saeid R. Habibi:
Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy. Signal Process. 96: 290-299 (2014) - [j2]Stephen Andrew Gadsden, Saeid R. Habibi, Thia Kirubarajan:
Kalman and smooth variable structure filters for robust estimation. IEEE Trans. Aerosp. Electron. Syst. 50(2): 1038-1050 (2014) - 2013
- [j1]Mohammad Al-Shabi, S. Andrew Gadsden, Saeid R. Habibi:
Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter. Signal Process. 93(2): 420-431 (2013) - [c9]Wanlin Zhang, S. Andrew Gadsden, Saeid R. Habibi:
Nonlinear estimation of stator winding resistance in a brushless DC motor. ACC 2013: 4699-4704 - [c8]Mina Attari, S. Andrew Gadsden, Saeid R. Habibi:
Target tracking formulation of the SVSF as a probabilistic data association algorithm. ACC 2013: 6328-6332 - 2012
- [c7]S. Andrew Gadsden, Yu Song, Saeid R. Habibi:
Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator. ACC 2012: 5152-5159 - 2011
- [c6]Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Saeid R. Habibi:
Fault detection of an engine using a neural network trained by the smooth variable structure filter. CCA 2011: 1190-1196 - [c5]S. Andrew Gadsden, Kevin McCullough, Saeid R. Habibi:
Fault detection and diagnosis of an electrohydrostatic actuator using a novel interacting multiple model approach. ACC 2011: 1396-1401 - [c4]S. Andrew Gadsden, Mohammed A. El Sayed, Saeid R. Habibi:
Derivation of an optimal boundary layer width for the smooth variable structure filter. ACC 2011: 4922-4927 - [c3]S. Andrew Gadsden, Darcy Dunne, Saeid R. Habibi, Thia Kirubarajan:
Combined particle and smooth variable structure filtering for nonlinear estimation problems. FUSION 2011: 1-8 - 2010
- [c2]S. Andrew Gadsden, Saeid R. Habibi:
A new form of the smooth variable structure filter with a covariance derivation. CDC 2010: 7389-7394 - [c1]S. Andrew Gadsden, Saeid R. Habibi, Thia Kirubarajan:
A novel interacting multiple model method for nonlinear target tracking. FUSION 2010: 1-8
Coauthor Index
Saeid R. Habibi
aka: Saeid Reza Habibi
aka: Saeid Reza Habibi
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last updated on 2024-08-13 21:45 CEST by the dblp team
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