DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing. - Mohamed Abdel-Basset; Hossam Hawash; Mohamed Elhoseny; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2020)

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications. - Mohamed Abdel-Basset; Hossam Hawash; Ripon Kumar Chakrabortty; Michael J. Ryan; Mohamed Elhoseny; Houbing Song (IEEE Internet Things J., 2021)

Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks. - Mohamed Abdel-Basset; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Internet Things J., 2021)

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities. - Mohamed Abdel-Basset; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Internet Things J., 2021)

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash (Inf. Sci., 2021)

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection. - Mohamed Abdel-Basset; Victor Chang 001; Hossam Hawash; Ripon Kumar Chakrabortty; Michael J. Ryan (Knowl. Based Syst., 2021)

Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Osama M. Elkomy (Pattern Recognit. Lett., 2021)

Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment. - Mohamed Abdel-Basset; Victor Chang 001; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Trans. Ind. Informatics, 2021)

Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa (IEEE Consumer Electron. Mag., 2022)

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications. - Mohamed Abdel-Basset; Hossam Hawash; Victor Chang 001; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Internet Things J., 2022)

H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Nazeeruddin Mohammad (IEEE Internet Things J., 2022)

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Ahmed M. Ali 005 (Inf. Sci., 2022)

Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa (Inf. Sci., 2022)

STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings. - Mohamed Abdel-Basset; Hossam Hawash; Karam M. Sallam; Sameh S. Askar; Mohamed Abouhawwash (J. King Saud Univ. Comput. Inf. Sci., 2022)

Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2022)

Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System. - Mohamed Abdel-Basset; Hossam Hawash; Karam M. Sallam (IEEE Trans. Ind. Informatics, 2022)

Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash (IEEE Trans. Ind. Informatics, 2022)

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Imran Razzak; Karam M. Sallam; Osama M. Elkomy (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Learning Techniques for IoT Security and Privacy - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding 001 (Springer, 2022)

Efficient and Lightweight Convolutional Networks for IoT Malware Detection: A Federated Learning Approach. - Mohamed Abdel-Basset; Hossam Hawash; Karam M. Sallam; Ibrahim Elgendi; Kumudu S. Munasinghe; Abbas Jamalipour (IEEE Internet Things J., 2023)

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Osama M. Elkomy (IEEE Trans. Cybern., 2023)

Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash (IEEE Trans. Ind. Informatics, 2023)

ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language. - Mohamed Essam; Moemen Ahmed; Arwa Ibrahim; Aya Adel; Radwa Ayman; Mariam Emad; Attia Attia; Saed Abdelrahamn; Ahmed Tolba; Ahmed Elmasry; Shorok Osama; Shaymaa Mohamed; et al. (Zenodo, 2023)

ArabicSL-Bench: A Benchmark Image Dataset for Arabic Alphabets Sign Language. - Mohamed Essam; Moemen Ahmed; Arwa Ibrahim; Aya Adel; Radwa Ayman; Mariam Emad; Attia Attia; Saed Abdelrahamn; Ahmed Tolba; Ahmed Elmasry; Shorok Osama; Shaymaa Mohamed; et al. (Zenodo, 2023)

FV-Seg-Net: Fully Volumetric Network for Accurate Segmentation of COVID-19 Lesions From Chest CT Scans. - Mohamed Abdel-Basset; Hossam Hawash; Victor Chang 001 (IEEE Trans. Ind. Informatics, 2023)

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Witold Pedrycz (Inf. Sci., 2023)

Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Sara Abdel-Razek; Chuansheng Liu (Inf. Sci., 2023)

Digital Twin for Optimization of Slicing-Enabled Communication Networks: A Federated Graph Learning Approach. - Mohamed Abdel-Basset; Hossam Hawash; Karam M. Sallam; Ibrahim Elgendi; Kumudu S. Munasinghe (IEEE Commun. Mag., 2023)

Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Imran Razzak; Mohamed Abd Elfattah (Digit. Commun. Networks, 2024)

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction. - Weiping Ding 001; Mohamed Abdel-Basset; Ibrahim Alrashdi; Hossam Hawash (Inf. Sci., 2024)

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks. - Weiping Ding 001; Ibrahim Alrashdi; Hossam Hawash; Mohamed Abdel-Basset (Inf. Sci., 2024)

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Mahardhika Pratama; Witold Pedrycz (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey. - Mohamed Abdel-Basset; Victor Chang 001; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (Ann. Oper. Res., 2024)