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Hossam Hawash
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2020 – today
- 2024
- [j30]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): 3-51 (2024) - [j29]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): 404-415 (2024) - [j28]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: 120057 (2024) - [j27]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: 120338 (2024) - [j26]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): 126-139 (2024) - 2023
- [j25]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): 100-106 (2023) - [j24]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): 7164-7173 (2023) - [j23]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: 20-39 (2023) - [j22]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: 403-419 (2023) - [j21]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): 1285-1298 (2023) - [j20]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): 995-1005 (2023) - [j19]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): 3321-3330 (2023) - [d1]Mohamed Essam, Moemen Ahmed, Arwa Ibrahim, Aya Adel, Radwa Ayman, Mariam Emad, Attia Attia, Saed Abdelrahamn, Ahmed Tolba, Ahmed Elmasry, Shorok Osama, Shaymaa Mohamed, Mahmoud Mohamed, Rana Ramadan, Gamal Mohamed, Ahmed Sobhy, Hossam Hawash, Mohamed Abdel-Basset:
ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language. Zenodo, 2023 - 2022
- [b1]Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding:
Deep Learning Techniques for IoT Security and Privacy. Studies in Computational Intelligence 997, Springer 2022, ISBN 978-3-030-89024-7, pp. 1-257 - [j18]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): 56-66 (2022) - [j17]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): 5653-5665 (2022) - [j16]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): 10010-10021 (2022) - [j15]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: 144-165 (2022) - [j14]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali:
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey. Inf. Sci. 615: 238-292 (2022) - [j13]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): 4296-4311 (2022) - [j12]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz:
Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. IEEE Trans. Fuzzy Syst. 30(4): 1088-1101 (2022) - [j11]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): 1905-1917 (2022) - [j10]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): 7920-7934 (2022) - [j9]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): 2523-2537 (2022) - 2021
- [j8]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): 4969-4979 (2021) - [j7]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): 12251-12265 (2021) - [j6]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): 12422-12435 (2021) - [j5]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: 559-573 (2021) - [j4]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: 106647 (2021) - [j3]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: 311-319 (2021) - [j2]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): 7704-7715 (2021) - 2020
- [j1]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: 170433-170451 (2020)
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