Search Results - "Sobh, Ibrahim"

Deep Reinforcement Learning for Autonomous Driving: A Survey by Kiran, B Ravi, Sobh, Ibrahim, Talpaert, Victor, Mannion, Patrick, Sallab, Ahmad A. Al, Yogamani, Senthil, Perez, Patrick

“…With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of…”
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Molecular analysis of Staphylococcus aureus isolated from clinical samples and natural flora by Abdulbaqi, Amal, Ibrahim, Ashraf Sobh

“…A total of 100 samples collected from the wound, abscess skin, and normal human flora were investigated for S. aureus identification. Overall, in 40 samples,…”
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RL_QOptimizer: A Reinforcement Learning Based Query Optimizer by Ramadan, Mohamed, El-Kilany, Ayman, Mokhtar, Hoda M. O., Sobh, Ibrahim

“…With the current availability of massive datasets and scalability requirements, different systems are required to provide their users with the best performance…”
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Multimodel System for Driver Distraction Detection and Elimination by AbouOuf, Abdulrahman, Sobh, Ibrahim, Nasser, Mohammad, Alsaqa, Omar, Elezaby, Omar, Zaki, John F. W.

“…On average 3,700 people lose their lives on roads every day due to car accidents as a result of drivers' distraction. In this research, a proposed hybrid…”
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Towards online training for RL-based query optimizer by Ramadan, Mohamed, Mokhtar, Hoda M. O., Sobh, Ibrahim, El-Kilany, Ayman

“…Abstract Join query optimization aims to find the best join order for tables in a query, which is critical for query processing performance. Recently,…”
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RLQOptimizer: A Reinforcement Learning Based Query Optimizer by Ramadan, Mohamed, El-Kilany, Ayman, Mokhtar, Hoda M. O., Sobh, Ibrahim

“…With the current availability of massive datasets and scalability requirements, different systems are required to provide their users with the best performance…”
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Statistical Formant Speech Synthesis for Arabic by Jafri, Afshan, Sobh, Ibrahim, Alkhairy, Ashraf

“…This work constructs a hybrid system that integrates formant synthesis and context-dependent Hidden Semi-Markov Models (HSMM). HSMM parameters comprise of…”
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Novel Edge AI with Power-Efficient Re-configurable LP-MAC Processing Elements by Kamel, Mahmoud, Madian, Ahmed, Sobh, Ibrahim

“…Deep learning has become increasingly important in various fields, such as robotics, image processing, and speech recognition. However, the high computational…”
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Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving by Sobh, Ibrahim, Hamed, Ahmed, Kumar, Varun Ravi, Yogamani, Senthil

“…Deep neural networks (DNNs) have accomplished impressive success in various applications, including autonomous driving perception tasks, in recent years. On…”
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Robust Dual View Deep Agent by Sobh, Ibrahim M, Darwish, Nevin M

“…Motivated by recent advance of machine learning using Deep Reinforcement Learning this paper proposes a modified architecture that produces more robust agents…”
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Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation by Sallab, Ahmad El, Sobh, Ibrahim, Zahran, Mohamed, Shawky, Mohamed

“…Data scarcity is a bottleneck to machine learning-based perception modules, usually tackled by augmenting real data with synthetic data from simulators…”
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End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving by Abdou, Mohammed, Elkhateeb, Mahmoud, Sobh, Ibrahim, Elsallab, Ahmad

“…3D semantic scene labeling is a fundamental task for Autonomous Driving. Recent work shows the capability of Deep Neural Networks in labeling 3D point sets…”
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LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving by Sallab, Ahmad El, Sobh, Ibrahim, Zahran, Mohamed, Essam, Nader

“…In the autonomous driving domain, data collection and annotation from real vehicles are expensive and sometimes unsafe. Simulators are often used for data…”
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Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving by Uricar, Michal, Krizek, Pavel, Hurych, David, Sobh, Ibrahim, Yogamani, Senthil, Denny, Patrick

“…Generative Adversarial Networks (GAN) have gained a lot of popularity from their introduction in 2014 till present. Research on GAN is rapidly growing and…”
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Deep Reinforcement Learning for Autonomous Driving: A Survey by Kiran, B Ravi, Sobh, Ibrahim, Talpaert, Victor, Mannion, Patrick, Sallab, Ahmad A. Al, Yogamani, Senthil, Pérez, Patrick

“…With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of…”
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Exploring applications of deep reinforcement learning for real-world autonomous driving systems by Talpaert, Victor, Sobh, Ibrahim, Kiran, B Ravi, Mannion, Patrick, Yogamani, Senthil, El-Sallab, Ahmad, Perez, Patrick

“…Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind's AlphaGo. It has been…”
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