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ORCIDMedhat A. Moussa
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- affiliation: University of Guelph, School of Engineering
- affiliation: University of Waterloo, Department of Systems Design Engineering
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2020 – today
- 2024
[j18]Matthew Veres, Cole Tarry, Kristy Grigg-McGuffin, Wendy McFadden-Smith
, Medhat Moussa:
An Evaluation of Multi-Channel Sensors and Density Estimation Learning for Detecting Fire Blight Disease in Pear Orchards. Sensors 24(16): 5387 (2024)- 2023
- [j17]Thomas Idzik, Matthew Veres, Cole Tarry, Medhat Moussa:
A Real-Time Inspection System for Industrial Helical Gears. Sensors 23(20): 8541 (2023) - [c27]Emanuel Figetakis, Yahuza Bello, Ahmed Refaey, Lei Lei, Medhat Moussa:
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques. GLOBECOM 2023: 1042-1047 - [i9]Emanuel Figetakis, Yahuza Bello, Ahmed Refaey, Lei Lei, Medhat Moussa:
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques. CoRR abs/2309.14395 (2023) - 2021
- [j16]Abdelrahman Allam, Medhat Moussa, Cole Tarry, Matthew Veres:
Detecting Teeth Defects on Automotive Gears Using Deep Learning. Sensors 21(24): 8480 (2021) - [i8]Brent Van De Walker, Brendan Byrne, Joshua Near, Blake Purdie, Matthew Whatman, David Weales, Cole Tarry, Medhat Moussa:
Towards developing a realistic robotics simulation environment of an indoor vegetable greenhouse. CoRR abs/2107.14348 (2021) - 2020
- [j15]Patrick Wspanialy, Medhat Moussa:
A detection and severity estimation system for generic diseases of tomato greenhouse plants. Comput. Electron. Agric. 178: 105701 (2020) - [j14]Matthew Veres, Ian Cabral, Medhat Moussa:
Incorporating Object Intrinsic Features Within Deep Grasp Affordance Prediction. IEEE Robotics Autom. Lett. 5(4): 6009-6016 (2020) - [j13]Matthew Veres, Medhat Moussa:
Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends. IEEE Trans. Intell. Transp. Syst. 21(8): 3152-3168 (2020) - [c26]Sohail Akhtar, Adarsh Tandiya, Medhat Moussa, Cole Tarry:
A Robotics Inspection System for Detecting Defects on Semi-specular Painted Automotive Surfaces. ICRA 2020: 8928-8934 - [i7]Patrick Wspanialy, Justin Brooks, Medhat Moussa:
An Image Labeling Tool and Agricultural Dataset for Deep Learning. CoRR abs/2004.03351 (2020)
2010 – 2019
- 2019
- [c25]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 - [i6]Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor:
Batch Normalization is a Cause of Adversarial Vulnerability. CoRR abs/1905.02161 (2019) - 2018
- [c24]Adarsh Tandiya, Sohail Akhtar, Medhat Moussa, Cole Tarry:
Automotive Semi-specular Surface Defect Detection System. CRV 2018: 285-291 - [c23]Ayman M. El Mesalami, Soad F. Ibrahim, Medhat Moussa:
Automatic Detection of the Main Vine and Branches of Tomato Plants Grown in Greenhouses. EIT 2018: 753-758 - [c22]Angus Galloway, Graham W. Taylor, Medhat Moussa:
Attacking Binarized Neural Networks. ICLR (Poster) 2018 - [i5]Angus Galloway, Graham W. Taylor, Medhat Moussa:
Predicting Adversarial Examples with High Confidence. CoRR abs/1802.04457 (2018) - 2017
- [j12]Matthew Veres, Medhat Moussa, Graham W. Taylor:
Modeling Grasp Motor Imagery Through Deep Conditional Generative Models. IEEE Robotics Autom. Lett. 2(2): 757-764 (2017) - [c21]Angus Galloway, Graham W. Taylor, Aaron Ramsay, Medhat Moussa:
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment. CRV 2017: 361-366 - [i4]Matthew Veres, Medhat Moussa, Graham W. Taylor:
Modeling Grasp Motor Imagery through Deep Conditional Generative Models. CoRR abs/1701.03041 (2017) - [i3]Matthew Veres, Medhat A. Moussa, Graham W. Taylor:
An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning. CoRR abs/1702.02103 (2017) - [i2]Angus Galloway, Graham W. Taylor, Aaron Ramsay, Medhat Moussa:
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment. CoRR abs/1702.05564 (2017) - [i1]Angus Galloway, Graham W. Taylor, Medhat Moussa:
Attacking Binarized Neural Networks. CoRR abs/1711.00449 (2017) - 2016
- [j11]Patrick Wspanialy, Medhat Moussa:
Early powdery mildew detection system for application in greenhouse automation. Comput. Electron. Agric. 127: 487-494 (2016) - 2015
- [c20]Ammar M. Abuleil, Graham W. Taylor, Medhat Moussa:
An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture. CRV 2015: 277-284 - 2014
- [c19]Cole Tarry, Michael Stachowsky, Medhat Moussa:
Robust Detection of Paint Defects in Moulded Plastic Parts. CRV 2014: 306-312 - [c18]Cole Tarry, Patrick Wspanialy, Matthew Veres, Medhat Moussa:
An Integrated Bud Detection and Localization System for Application in Greenhouse Automation. CRV 2014: 344-348 - 2012
- [j10]Antony W. Savich, Medhat Moussa, Shawki Areibi:
A scalable pipelined architecture for real-time computation of MLP-BP neural networks. Microprocess. Microsystems 36(2): 138-150 (2012) - [c17]Ahmed Elhossini, Medhat Moussa:
Memory efficient FPGA implementation of hough transform for line and circle detection. CCECE 2012: 1-5 - [c16]Ahmed Elhossini, Medhat Moussa, Cole Tarry, Cedric de Brito:
An efficient architecture for stereo vision implementation on FPGAS using low and high level image features. CCECE 2012: 1-5 - [c15]Mike Stachowsky, Medhat Moussa, Hussein A. Abdullah:
A locally adaptive online grasp control strategy using array sensor force feedback. IROS 2012: 4060-4065 - 2011
- [c14]Antony W. Savich, Medhat Moussa:
Resource Efficient Arithmetic Effects on RBM Neural Network Solution Quality Using MNIST. ReConFig 2011: 35-40 - 2010
- [j9]Maria Ralph, Medhat A. Moussa:
An Integrated System for User-Adaptive Robotic Grasping. IEEE Trans. Robotics 26(4): 698-709 (2010)
2000 – 2009
- 2008
- [j8]Maria Ralph, Medhat A. Moussa:
Toward a Natural Language Interface for Transferring Grasping Skills to Robots. IEEE Trans. Robotics 24(2): 468-475 (2008) - 2007
- [j7]Stephen Coe, Shawki Areibi, Medhat Moussa:
A hardware Memetic accelerator for VLSI circuit partitioning. Comput. Electr. Eng. 33(4): 233-248 (2007) - [j6]Antony W. Savich, Medhat Moussa, Shawki Areibi:
The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study. IEEE Trans. Neural Networks 18(1): 240-252 (2007) - 2006
- [j5]Medhat Moussa:
Categorizing arbitrarily shaped objects based on grasping configurations. Robotics Auton. Syst. 54(10): 858-863 (2006) - [c13]Maria Ralph, Medhat Moussa:
On the effect of the user's background on communicating grasping commands. HRI 2006: 353-354 - 2005
- [j4]Shawki Areibi, Medhat Moussa, G. Koonar:
A Genetic Algorithm Hardware Accelerator for VLSI Circuit Partitioning. Int. J. Comput. Their Appl. 12(3): 163-180 (2005) - [c12]Mohamed Badran, Medhat Moussa:
BioMEMS Implants for neural Regeneration after a Spinal Cord Injury. ICMENS 2005: 89-90 - [c11]Maria Ralph, Medhat A. Moussa:
Human-robot interaction for robotic grasping: a pilot study. IROS 2005: 454-459 - [c10]Vijay Pandya, Shawki Areibi, Medhat Moussa:
A Handel-C implementation of the back-propagation algorithm on field programmable gate arrays. ReConFig 2005 - 2004
- [j3]Medhat A. Moussa:
Combining expert neural networks using reinforcement feedback for learning primitive grasping behavior. IEEE Trans. Neural Networks 15(3): 629-638 (2004) - [c9]Mohamed Badran, Medhat Moussa:
On the Design of an Electrohydrodynamic Ion-Drag Micropump. ICMENS 2004: 137-140 - 2003
- [j2]Inas Khalifa, Medhat A. Moussa, Mohamed Kamel:
Range image segmentation using local approximation of scan lines with application to CAD model acquisition. Mach. Vis. Appl. 13(5): 263-274 (2003) - [c8]Daniel C. Asmar, Medhat Moussa, John S. Zelek:
On the Role of Machine Learning Algorithms in Developing MEMS Components. ICMENS 2003: 108-113 - 2002
- [c7]Kristian R. Nichols, Medhat Moussa, Shawki Areibi:
Feasibility of Floating-Point Arithmetic in FPGA based ANNs. CAINE 2002: 8-13 - [c6]G. Koonar, Shawki Areibi, Medhat Moussa:
Hardware Implementation of Genetic Algorithms for VLSI Design. CAINE 2002: 197-200 - 2000
- [c5]Inas Khalifa, Medhat A. Moussa, Mohamed Kamel:
Range Image Segmentation with Application to CAD Model Acquisition. ICIP 2000: 740-743
1990 – 1999
- 1998
- [j1]Medhat A. Moussa, Mohamed S. Kamel:
An experimental approach to robotic grasping using a connectionist architecture and generic grasping functions. IEEE Trans. Syst. Man Cybern. Part C 28(2): 239-253 (1998) - [c4]Medhat Moussa, Martin Hill, James Fernandes, Fakhri Karray:
A software-based procedure for robotic end effector error correction. IROS 1998: 1178-1182 - 1996
- [c3]Medhat A. Moussa, Mohamed S. Kamel:
A connectionist model for learning robotic grasps using reinforcement learning. ICNN 1996: 1771-1776 - [c2]Medhat A. Moussa, Mohamed S. Kamel:
An experimental approach to robotic grasping using reinforcement learning and generic grasping functions. ICRA 1996: 2767-2773 - 1995
- [c1]Medhat A. Moussa, Mohamed S. Kamel:
A connectionist model of human grasps and its application to robot grasping. ICNN 1995: 2555-2559
Coauthor Index
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