Hossam Hawash

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Intrusion Detection

Indoor Environments

Top Venues

IEEE Internet Things J.

IEEE Trans. Ind. Informatics

IEEE Trans. Cybern.

Publications

Weiping Ding, Mohamed Abdel-Basset, Ibrahim Alrashdi, Hossam Hawash
Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction. Inf. Sci. 665 (2024)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, Imran Razzak, Mohamed Abd Elfattah
Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach. Digit. Commun. Networks 10 (2) (2024)
Weiping Ding, Ibrahim Alrashdi, Hossam Hawash, Mohamed Abdel-Basset
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks. Inf. Sci. 658 (2024)
Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan
Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey. Ann. Oper. Res. 339 (1-2) (2024)
Mohamed Abdel-Basset, Hossam Hawash, Victor Chang
FV-Seg-Net: Fully Volumetric Network for Accurate Segmentation of COVID-19 Lesions From Chest CT Scans. IEEE Trans. Ind. Informatics 19 (3) (2023)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Osama M. Elkomy
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans. IEEE Trans. Cybern. 53 (2) (2023)
Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash
Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach. IEEE Trans. Ind. Informatics 19 (1) (2023)
Mohamed Abdel-Basset, Hossam Hawash, Karam M. Sallam, Ibrahim Elgendi, Kumudu S. Munasinghe
Digital Twin for Optimization of Slicing-Enabled Communication Networks: A Federated Graph Learning Approach. IEEE Commun. Mag. 61 (10) (2023)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Sara Abdel-Razek, Chuansheng Liu
Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things. Inf. Sci. 630 (2023)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT. Inf. Sci. 623 (2023)
Mohamed Abdel-Basset, Hossam Hawash, Karam M. Sallam, Ibrahim Elgendi, Kumudu S. Munasinghe, Abbas Jamalipour
Efficient and Lightweight Convolutional Networks for IoT Malware Detection: A Federated Learning Approach. IEEE Internet Things J. 10 (8, April 15) (2023)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa
Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication. Inf. Sci. 597 (2022)
Mohamed Abdel-Basset, Hossam Hawash, Karam M. Sallam
Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System. IEEE Trans. Ind. Informatics 18 (3) (2022)
Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, Nazeeruddin Mohammad
H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information. IEEE Internet Things J. 9 (12) (2022)
Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa
Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions. IEEE Consumer Electron. Mag. 11 (6) (2022)
Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Imran Razzak, Karam M. Sallam, Osama M. Elkomy
Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Mohamed Abdel-Basset, Hossam Hawash, Karam M. Sallam, Sameh S. Askar, Mohamed Abouhawwash
STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings. J. King Saud Univ. Comput. Inf. Sci. 34 (7) (2022)
Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash
Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach. IEEE Trans. Ind. Informatics 18 (11) (2022)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz
Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. IEEE Trans. Fuzzy Syst. 30 (4) (2022)
Mohamed Abdel-Basset, Hossam Hawash, Victor Chang, Ripon K. Chakrabortty, Michael J. Ryan
Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications. IEEE Internet Things J. 9 (8) (2022)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey. Inf. Sci. 615 (2022)
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions. Inf. Sci. 578 (2021)
Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, Osama M. Elkomy
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans. Pattern Recognit. Lett. 152 (2021)
Mohamed Abdel-Basset, Hossam Hawash, Ripon Kumar Chakrabortty, Michael J. Ryan, Mohamed Elhoseny, Houbing Song
ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications. IEEE Internet Things J. 8 (6) (2021)
Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon Kumar Chakrabortty, Michael J. Ryan
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection. Knowl. Based Syst. 212 (2021)
Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan
Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment. IEEE Trans. Ind. Informatics 17 (11) (2021)
Mohamed Abdel-Basset, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan
Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks. IEEE Internet Things J. 8 (15) (2021)
Mohamed Abdel-Basset, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan
Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities. IEEE Internet Things J. 8 (15) (2021)
Mohamed Abdel-Basset, Hossam Hawash, Mohamed Elhoseny, Ripon Kumar Chakrabortty, Michael J. Ryan
DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing. IEEE Access 8 (2020)