Hossam Hawash

发表

PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production

Mohamed Abdel-Basset, Michael Ryan, Ripon K. Chakrabortty, 2021, Journal of Cleaner Production.

Digital Forensics in Internet of Things

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions

Mohamed Abdel-Basset, Hossam Hawash, Weiping Ding, 2021, Information Sciences.

STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings

Karam M. Sallam, Mohamed Abdel-Basset, Hossam Hawash, 2022, J. King Saud Univ. Comput. Inf. Sci..

Deep Reinforcement Learning for Secure Internet of Things

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

Federated Learning for Privacy-Preserving Internet of Things

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

Mohamed Abdel-Basset, Michael J. Ryan, Ripon K. Chakrabortty, 2021, Knowledge-Based Systems.

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems

Karam M. Sallam, Mohamed Abdel-Basset, Hossam Hawash, 2022, IEEE Transactions on Intelligent Transportation Systems.

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

Mohamed Abdel-Basset, Hossam Hawash, Ahmed Ali, 2022, Inf. Sci..

Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning

Witold Pedrycz, Mohamed Abdel-Basset, Weiping Ding, 2022, IEEE Transactions on Fuzzy Systems.

DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing

Mohamed Elhoseny, Mohamed Abdel-Basset, Michael Ryan, 2020, IEEE Access.

Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2022, IEEE Transactions on Industrial Informatics.

Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks

Mohamed Abdel-Basset, Michael J. Ryan, Ripon K. Chakrabortty, 2021, IEEE Internet of Things Journal.

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

Mohamed Abdel-Basset, Michael J. Ryan, Houbing Song, 2021, IEEE Internet of Things Journal.

Efficient and Lightweight Convolutional Networks for IoT Malware Detection: A Federated Learning Approach

Karam M. Sallam, A. Jamalipour, Hossam Hawash, 2023, IEEE Internet of Things Journal.

Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2023, IEEE Transactions on Industrial Informatics.

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, 2021, Pattern Recognition Letters.

Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System

Mohamed Abdel-Basset, Karam M. Sallam, Hossam Hawash, 2021, IEEE Transactions on Industrial Informatics.

Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2022, Inf. Sci..

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications

Mohamed Abdel-Basset, Michael J. Ryan, Ripon K. Chakrabortty, 2022, IEEE Internet of Things Journal.

Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment

Victor Chang, Mohamed Abdel-Basset, Michael J. Ryan, 2021, IEEE Transactions on Industrial Informatics.

Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions

Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, 2022, IEEE Consumer Electronics Magazine.

Interpretable Deep Learning for Discriminating Pneumonia from Lung Ultrasounds

Karam M. Sallam, Hossam Hawash, K. Alnowibet, 2022, Mathematics.

Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things

Hossam Hawash, Weiping Ding, Chuansheng Liu, 2023, Information Sciences.

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT

W. Pedrycz, Hossam Hawash, Weiping Ding, 2022, Information Sciences.

H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2022, IEEE Internet of Things Journal.

Introduction Conceptualization of Security, Forensics, and Privacy of Internet of Things: An Artificial Intelligence Perspective

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

Deep Learning Approaches for Security Threats in IoT Environments

Hossam Hawash, Nour Moustafa, M. Abdel-Basset, 2022 .

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans

Mohamed Abdel-Basset, Hossam Hawash, Weiping Ding, 2021, IEEE Transactions on Cybernetics.

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities

Mohamed Abdel-Basset, Michael Ryan, Ripon K. Chakrabortty, 2021, IEEE Internet of Things Journal.

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

FV-Seg-Net: Fully Volumetric Network for Accurate Segmentation of COVID-19 Lesions From Chest CT Scans

Mohamed Abdel-Basset, Hossam Hawash, Victor I. Chang, 2023, IEEE Transactions on Industrial Informatics.

Deep-IFS: Intrusion Detection Approach for IIoT Traffic in Fog Environment

Mike J. Ryan, Mohamed Abdel-Basset, Hossam Hawash, 2020 .

Semi-supervised Deep Learning for Secure Internet of Things

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

Challenges, Opportunities, and Future Prospects

Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, 2021, Deep Learning Techniques for IoT Security and Privacy.

Digital Twin for Optimization of Slicing-Enabled Communication Networks: A Federated Graph Learning Approach

Karam M. Sallam, Hossam Hawash, K. Munasinghe, 2023, IEEE Communications Magazine.

Collaborative Screening of COVID-19-Like Disease from Multi-Institutional Radiographs: A Federated Learning Approach

Hossam Hawash, M. Abouhawwash, M. Abdel-Basset, 2022, Mathematics.