FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection von Abdel-Basset, Mohamed, Chang, Victor, Hawash, Hossam, Chakrabortty, Ripon K., Ryan, Michael

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Deep learning approaches for security threats in IoT environments von Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam

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Responsible Graph Neural Networks von Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam, Tari, Zahir

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STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings von Abdel-Basset, Mohamed, Hawash, Hossam, Sallam, Karam, Askar, S.S., Abouhawwash, Mohamed

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DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing von Abdel-Basset, Mohamed, Hawash, Hossam, Elhoseny, Mohamed, Chakrabortty, Ripon K., Ryan, Michael

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Deep Learning Techniques for IoT Security and Privacy von Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam, Ding, Weiping

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Collaborative Screening of COVID-19-like Disease from Multi-Institutional Radiographs: A Federated Learning Approach von Abdel-Basset, Mohamed, Hawash, Hossam, Abouhawwash, Mohamed

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Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach von Abdel-Basset, Mohamed, Hawash, Hossam, Moustafa, Nour, Razzak, Imran, Abd Elfattah, Mohamed

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Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach von Abdel-Basset, Mohamed, Alrashdi, Ibrahim, Hawash, Hossam, Sallam, Karam, Hameed, Ibrahim A

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Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey von Ding, Weiping, Abdel-Basset, Mohamed, Hawash, Hossam, Ali, Ahmed M.

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Interpretable Deep Learning for Discriminating Pneumonia from Lung Ultrasounds von Abdel-Basset, Mohamed, Hawash, Hossam, Alnowibet, Khalid Abdulaziz, Mohamed, Ali Wagdy, Sallam, Karam M

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PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production von Abdel-Basset, Mohamed, Hawash, Hossam, Chakrabortty, Ripon K., Ryan, Michael

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Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System von Abdel-Basset, Mohamed, Hawash, Hossam, Sallam, Karam

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Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning von Ding, Weiping, Abdel-Basset, Mohamed, Hawash, Hossam, Pedrycz, Witold

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RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions von Ding, Weiping, Abdel-Basset, Mohamed, Hawash, Hossam

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Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment von Abdel-Basset, Mohamed, Chang, Victor, Hawash, Hossam, Chakrabortty, Ripon K., Ryan, Michael

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FV-Seg-Net: Fully Volumetric Network for Accurate Segmentation of COVID-19 Lesions From Chest CT Scans von Abdel-Basset, Mohamed, Hawash, Hossam, Chang, Victor

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Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach von Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam

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DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks von Ding, Weiping, Alrashdi, Ibrahim, Hawash, Hossam, Abdel-Basset, Mohamed

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Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction von Ding, Weiping, Abdel-Basset, Mohamed, Alrashdi, Ibrahim, Hawash, Hossam

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