A connectionist model of human grasps and its application to robot grasping. - Medhat A. Moussa; Mohamed S. Kamel (ICNN, 1995)

A connectionist model for learning robotic grasps using reinforcement learning. - Medhat A. Moussa; Mohamed S. Kamel (ICNN, 1996)

An experimental approach to robotic grasping using reinforcement learning and generic grasping functions. - Medhat A. Moussa; Mohamed S. Kamel (ICRA, 1996)

A software-based procedure for robotic end effector error correction. - Medhat Moussa; Martin Hill; James Fernandes; Fakhri Karray (IROS, 1998)

An experimental approach to robotic grasping using a connectionist architecture and generic grasping functions. - Medhat A. Moussa; Mohamed S. Kamel (IEEE Trans. Syst. Man Cybern. Part C, 1998)

Range Image Segmentation with Application to CAD Model Acquisition. - Inas Khalifa; Medhat A. Moussa; Mohamed Kamel (ICIP, 2000)

Hardware Implementation of Genetic Algorithms for VLSI Design. - G. Koonar; Shawki Areibi; Medhat Moussa (CAINE, 2002)

Feasibility of Floating-Point Arithmetic in FPGA based ANNs. - Kristian R. Nichols; Medhat Moussa; Shawki Areibi (CAINE, 2002)

On the Role of Machine Learning Algorithms in Developing MEMS Components. - Daniel C. Asmar; Medhat Moussa; John S. Zelek (ICMENS, 2003)

Range image segmentation using local approximation of scan lines with application to CAD model acquisition. - Inas Khalifa; Medhat A. Moussa; Mohamed Kamel (Mach. Vis. Appl., 2003)

On the Design of an Electrohydrodynamic Ion-Drag Micropump. - Mohamed Badran; Medhat Moussa (ICMENS, 2004)

Combining expert neural networks using reinforcement feedback for learning primitive grasping behavior. - Medhat A. Moussa (IEEE Trans. Neural Networks, 2004)

BioMEMS Implants for neural Regeneration after a Spinal Cord Injury. - Mohamed Badran; Medhat Moussa (ICMENS, 2005)

Human-robot interaction for robotic grasping: a pilot study. - Maria Ralph; Medhat A. Moussa (IROS, 2005)

A Handel-C implementation of the back-propagation algorithm on field programmable gate arrays. - Vijay Pandya; Shawki Areibi; Medhat Moussa (ReConFig, 2005)

A Genetic Algorithm Hardware Accelerator for VLSI Circuit Partitioning. - Shawki Areibi; Medhat Moussa; G. Koonar (Int. J. Comput. Their Appl., 2005)

On the effect of the user's background on communicating grasping commands. - Maria Ralph; Medhat Moussa (HRI, 2006)

Categorizing arbitrarily shaped objects based on grasping configurations. - Medhat Moussa (Robotics Auton. Syst., 2006)

A hardware Memetic accelerator for VLSI circuit partitioning. - Stephen Coe; Shawki Areibi; Medhat Moussa (Comput. Electr. Eng., 2007)

The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study. - Antony W. Savich; Medhat Moussa; Shawki Areibi (IEEE Trans. Neural Networks, 2007)

Toward a Natural Language Interface for Transferring Grasping Skills to Robots. - Maria Ralph; Medhat A. Moussa (IEEE Trans. Robotics, 2008)

An Integrated System for User-Adaptive Robotic Grasping. - Maria Ralph; Medhat A. Moussa (IEEE Trans. Robotics, 2010)

Resource Efficient Arithmetic Effects on RBM Neural Network Solution Quality Using MNIST. - Antony W. Savich; Medhat Moussa (ReConFig, 2011)

Memory efficient FPGA implementation of hough transform for line and circle detection. - Ahmed Elhossini; Medhat Moussa (CCECE, 2012)

An efficient architecture for stereo vision implementation on FPGAS using low and high level image features. - Ahmed Elhossini; Medhat Moussa; Cole Tarry; Cedric de Brito (CCECE, 2012)

A locally adaptive online grasp control strategy using array sensor force feedback. - Mike Stachowsky; Medhat Moussa; Hussein A. Abdullah (IROS, 2012)

A scalable pipelined architecture for real-time computation of MLP-BP neural networks. - Antony W. Savich; Medhat Moussa; Shawki Areibi (Microprocess. Microsystems, 2012)

Robust Detection of Paint Defects in Moulded Plastic Parts. - Cole Tarry; Michael Stachowsky; Medhat Moussa (CRV, 2014)

An Integrated Bud Detection and Localization System for Application in Greenhouse Automation. - Cole Tarry; Patrick Wspanialy; Matthew Veres; Medhat Moussa (CRV, 2014)

An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture. - Ammar M. Abuleil; Graham W. Taylor; Medhat Moussa (CRV, 2015)

Early powdery mildew detection system for application in greenhouse automation. - Patrick Wspanialy; Medhat Moussa (Comput. Electron. Agric., 2016)

The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment. - Angus Galloway; Graham W. Taylor; Aaron Ramsay; Medhat Moussa (CRV, 2017)

An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning. - Matthew Veres; Medhat A. Moussa; Graham W. Taylor (CoRR, 2017)

Modeling Grasp Motor Imagery Through Deep Conditional Generative Models. - Matthew Veres; Medhat Moussa; Graham W. Taylor (IEEE Robotics Autom. Lett., 2017)

Automotive Semi-specular Surface Defect Detection System. - Adarsh Tandiya; Sohail Akhtar; Medhat Moussa; Cole Tarry (CRV, 2018)

Automatic Detection of the Main Vine and Branches of Tomato Plants Grown in Greenhouses. - Ayman M. El Mesalami; Soad F. Ibrahim; Medhat Moussa (EIT, 2018)

Attacking Binarized Neural Networks. - Angus Galloway; Graham W. Taylor; Medhat Moussa (ICLR (Poster), 2018)

Predicting Adversarial Examples with High Confidence. - Angus Galloway; Graham W. Taylor; Medhat Moussa (CoRR, 2018)

Power System Dynamic State Estimation Using Smooth Variable Structure Filter. - Ibrahim Al-Omari; Abolfazl Rahimnejad; S. Andrew Gadsden; Medhat Moussa; Hadis Karimipour (GlobalSIP, 2019)

Batch Normalization is a Cause of Adversarial Vulnerability. - Angus Galloway; Anna Golubeva; Thomas Tanay; Medhat Moussa; Graham W. Taylor (CoRR, 2019)

A Robotics Inspection System for Detecting Defects on Semi-specular Painted Automotive Surfaces. - Sohail Akhtar; Adarsh Tandiya; Medhat Moussa; Cole Tarry (ICRA, 2020)

A detection and severity estimation system for generic diseases of tomato greenhouse plants. - Patrick Wspanialy; Medhat Moussa (Comput. Electron. Agric., 2020)

An Image Labeling Tool and Agricultural Dataset for Deep Learning. - Patrick Wspanialy; Justin Brooks; Medhat Moussa (CoRR, 2020)

Incorporating Object Intrinsic Features Within Deep Grasp Affordance Prediction. - Matthew Veres; Ian Cabral; Medhat Moussa (IEEE Robotics Autom. Lett., 2020)

Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends. - Matthew Veres; Medhat Moussa (IEEE Trans. Intell. Transp. Syst., 2020)

Towards developing a realistic robotics simulation environment of an indoor vegetable greenhouse. - Brent Van De Walker; Brendan Byrne; Joshua Near; Blake Purdie; Matthew Whatman; David Weales; Cole Tarry; Medhat Moussa (CoRR, 2021)

Detecting Teeth Defects on Automotive Gears Using Deep Learning. - Abdelrahman Allam; Medhat Moussa; Cole Tarry; Matthew Veres (Sensors, 2021)

Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques. - Emanuel Figetakis; Yahuza Bello; Ahmed Refaey; Lei Lei; Medhat Moussa (GLOBECOM, 2023)

A Real-Time Inspection System for Industrial Helical Gears. - Thomas Idzik; Matthew Veres; Cole Tarry; Medhat Moussa (Sensors, 2023)

An Evaluation of Multi-Channel Sensors and Density Estimation Learning for Detecting Fire Blight Disease in Pear Orchards. - Matthew Veres; Cole Tarry; Kristy Grigg-McGuffin; Wendy McFadden-Smith; Medhat Moussa (Sensors, 2024)