Search Results - "Abdellatif, Alaa Awad"

MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange by Awad Abdellatif, Alaa, Samara, Lutfi, Mohamed, Amr, Erbad, Aiman, Chiasserini, Carla Fabiana, Guizani, Mohsen, O'Connor, Mark Dennis, Laughton, James

“…Medical data exchange between diverse e-health entities can lead to a better healthcare quality, improving the response time in emergency conditions, and a…”
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Intelligent-Slicing: An AI-assisted Network Slicing Framework for 5G-and-Beyond Networks by Abdellatif, Alaa Awad, Abo-eleneen, Amr, Mohamed, Amr, Erbad, Aiman, Navkar, Nikhil V., Guizani, Mohsen

“…5G-and-beyond networks are designed to fulfill the communication and computation requirements of various industries, which requires not only transporting the…”
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I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning by Saria Allahham, Mhd, Awad Abdellatif, Alaa, Mohamed, Amr, Erbad, Aiman, Yaacoub, Elias, Guizani, Mohsen

“…The rapid evolution of remote health monitoring applications is foreseen to be a crucial solution for facing an unpredictable health crisis and improving the…”
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Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence by Baccour, Emna, Mhaisen, Naram, Abdellatif, Alaa Awad, Erbad, Aiman, Mohamed, Amr, Hamdi, Mounir, Guizani, Mohsen

“…Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from…”
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Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges by Abdellatif, Alaa Awad, Mohamed, Amr, Chiasserini, Carla Fabiana, Tlili, Mounira, Erbad, Aiman

“…Improving the efficiency of healthcare systems is a top national interest worldwide. However, the need to deliver scalable healthcare services to patients…”
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Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints by Mhaisen, Naram, Abdellatif, Alaa Awad, Mohamed, Amr, Erbad, Aiman, Guizani, Mohsen

“…Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training…”
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Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected Vehicles by Abdellatif, Alaa Awad, Chiasserini, Carla Fabiana, Malandrino, Francesco, Mohamed, Amr, Erbad, Aiman

“…Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected…”
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Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation by Awad Abdellatif, Alaa, Emam, Ahmed, Chiasserini, Carla-Fabiana, Mohamed, Amr, Jaoua, Ali, Ward, Rabab

“…•Handling large volumes of acquired data is challenging for remote monitoring.•Edge classification and compression is a promising solution for smart…”
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ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems by Abdellatif, Alaa Awad, Al-Marridi, Abeer Z., Mohamed, Amr, Erbad, Aiman, Chiasserini, Carla Fabiana, Refaey, Ahmed

“…The future of healthcare systems is being shaped by incorporating emerged technological innovations to drive new models for patient care. By acquiring,…”
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Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues by Abdellatif, Alaa Awad, Mhaisen, Naram, Mohamed, Amr, Erbad, Aiman, Guizani, Mohsen

“…The rise of chronic disease patients and the pandemic pose immediate threats to healthcare expenditure and mortality rates. This calls for transforming…”
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Deep Reinforcement Learning for Network Selection Over Heterogeneous Health Systems by Chkirbene, Zina, Abdellatif, Alaa Awad, Mohamed, Amr, Erbad, Aiman, Guizani, Mohsen

“…Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can…”
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Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks by Allahham, Mhd Saria, Abdellatif, Alaa Awad, Mhaisen, Naram, Mohamed, Amr, Erbad, Aiman, Guizani, Mohsen

“…The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless…”
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EEG-Based Transceiver Design With Data Decomposition for Healthcare IoT Applications by Abdellatif, Alaa Awad, Khafagy, Mohammad Galal, Mohamed, Amr, Chiasserini, Carla-Fabiana

“…The emergence of Internet of Things (IoT) applications and rapid advances in wireless communication technologies have motivated a paradigm shift in the…”
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User-Centric Networks Selection With Adaptive Data Compression for Smart Health by Abdellatif, Alaa Awad, Mohamed, Amr, Chiasserini, Carla-Fabiana

“…The increasing demand for intelligent and sustainable healthcare services has prompted the development of smart health systems. Rapid advances in wireless…”
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Privacy and Security in Distributed Learning: A Review of Challenges, Solutions, and Open Research Issues by Afzal, Muhammad Usman, Abdellatif, Alaa Awad, Zubair, Muhammad, Mehmood, Muhammad Qasim, Massoud, Yehia

“…In recent years, the way that machine learning is used has undergone a paradigm shift driven by distributed and collaborative learning. Several approaches have…”
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Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems by Abdellatif, Alaa Awad, Allahham, Mhd Saria, Khial, Noor, Mohamed, Amr, Erbad, Aiman, Shaban, Khaled

“…The conventional approach for Federated Learning (FL) is to train a global model by averaging local models trained on local data sets. However, given the…”
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Reducing Complexity and data-set-Size Through Physics Inspired Tandem Neural Network by Noureen, Sadia, Syed, Iqrar Hussain, Abdellatif, Alaa Awad, Mehmood, Muhammad Qasim, Massoud, Yehia

“…Owing to ample potential and versatile capabilities of artificial intelligence to solve intricate scientific problems, two regression-based artificial neural…”
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Physics-driven tandem inverse design neural network for efficient optimization of UV–Vis meta-devices by Noureen, Sadia, Syed, Iqrar Hussain, Ijaz, Sumbel, Abdellatif, Alaa Awad, Cabrera, Humberto, Zubair, Muhammad, Massoud, Yehia, Mehmood, Muhammad Qasim

“…This paper presents two tandemly stacked forward and inverse deep neural networks to model and optimize cylindrical shaped transmissive meta-atoms for UV–Vis…”
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A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems by said, Ahmed Ben, Al-Sa'D, Mohamed Fathi, Tlili, Mounira, Abdellatif, Alaa Awad, Mohamed, Amr, Elfouly, Tarek, Harras, Khaled, O'Connor, Mark Dennis

“…Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a…”
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B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core by Bello, Yahuza, Abdellatif, Alaa Awad, Allahham, Mhd Saria, Hussein, Ahmed Refaey, Erbad, Aiman, Mohamed, Amr, Guizani, Mohsen

“…In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus…”
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