A Real-Time Inspection System for Industrial Helical Gears von Idzik, Thomas, Veres, Matthew, Tarry, Cole, Moussa, Medhat

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Detecting Teeth Defects on Automotive Gears Using Deep Learning von Allam, Abdelrahman, Moussa, Medhat, Tarry, Cole, Veres, Matthew

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Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends von Veres, Matthew, Moussa, Medhat

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

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A Slip Detection and Correction Strategy for Precision Robot Grasping von Stachowsky, Michael, Hummel, Thomas, Moussa, Medhat, Abdullah, Hussein A.

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A detection and severity estimation system for generic diseases of tomato greenhouse plants von Wspanialy, Patrick, Moussa, Medhat

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Object Detection in Tomato Greenhouses: A Study on Model Generalization von Haggag, Sammar, Veres, Matthew, Tarry, Cole, Moussa, Medhat

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A robust machine vision system for body measurements of beef calves von Weales, David, Moussa, Medhat, Tarry, Cole

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The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study von Savich, A.W., Moussa, M., Areibi, S.

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Developing a Realistic Simulation Environment for Robotics Harvesting Operations in a Vegetable Greenhouse von Van De Walker, Brent, Byrne, Brendan, Near, Joshua, Purdie, Blake, Whatman, Matthew, Weales, David, Tarry, Cole, Moussa, Medhat

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Early powdery mildew detection system for application in greenhouse automation von Wspanialy, Patrick, Moussa, Medhat

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An Integrated System for User-Adaptive Robotic Grasping von Ralph, M, Moussa, M A

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Toward a Natural Language Interface for Transferring Grasping Skills to Robots von Ralph, M., Moussa, M.A.

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Using machine vision algorithms for characterizing gas-liquid slug flows in vertical pipes von Fadlalla, Dana, Holagh, Shahriyar G., Ahmed, Wael H., Weales, David, Moussa, Medhat

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Combining expert neural networks using reinforcement feedback for learning primitive grasping behavior von Moussa, M.A.

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Modeling Grasp Motor Imagery Through Deep Conditional Generative Models von Veres, Matthew, Moussa, Medhat, Taylor, Graham W.

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Incorporating Object Intrinsic Features Within Deep Grasp Affordance Prediction von Veres, Matthew, Cabral, Ian, Moussa, Medhat

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Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning von Galloway, Angus, Brunet, Dominique, Valipour, Reza, McCusker, Megan, Biberhofer, Johann, Sobol, Magdalena K., Moussa, Medhat, Taylor, Graham W.

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Categorizing arbitrarily shaped objects based on grasping configurations von Moussa, Medhat

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A scalable pipelined architecture for real-time computation of MLP-BP neural networks von Savich, Antony, Moussa, Medhat, Areibi, Shawki

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