Hossam Hawash

Orcid: 0000-0001-9925-3232

According to our database1, Hossam Hawash authored at least 32 papers between 2020 and 2024.

Collaborative distances:

Timeline

2020
2021
2022
2023
2024
0
5
10
5
7
10
7
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey.
Ann. Oper. Res., August, 2024

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks.
Inf. Sci., February, 2024

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction.
Inf. Sci., 2024

Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach.
Digit. Commun. Networks, 2024

2023
Digital Twin for Optimization of Slicing-Enabled Communication Networks: A Federated Graph Learning Approach.
IEEE Commun. Mag., October, 2023

Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things.
Inf. Sci., June, 2023

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT.
Inf. Sci., April, 2023

FV-Seg-Net: Fully Volumetric Network for Accurate Segmentation of COVID-19 Lesions From Chest CT Scans.
IEEE Trans. Ind. Informatics, March, 2023


Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach.
IEEE Trans. Ind. Informatics, 2023

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans.
IEEE Trans. Cybern., 2023

Efficient and Lightweight Convolutional Networks for IoT Malware Detection: A Federated Learning Approach.
IEEE Internet Things J., 2023

2022
Deep Learning Techniques for IoT Security and Privacy
Studies in Computational Intelligence 997, Springer, ISBN: 978-3-030-89024-7, 2022

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach.
IEEE Trans. Ind. Informatics, 2022

Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System.
IEEE Trans. Ind. Informatics, 2022

Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning.
IEEE Trans. Fuzzy Syst., 2022

STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings.
J. King Saud Univ. Comput. Inf. Sci., 2022

Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication.
Inf. Sci., 2022

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey.
Inf. Sci., 2022

H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information.
IEEE Internet Things J., 2022

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications.
IEEE Internet Things J., 2022

Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions.
IEEE Consumer Electron. Mag., 2022

2021
Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment.
IEEE Trans. Ind. Informatics, 2021

Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans.
Pattern Recognit. Lett., 2021

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection.
Knowl. Based Syst., 2021

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions.
Inf. Sci., 2021

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities.
IEEE Internet Things J., 2021

Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks.
IEEE Internet Things J., 2021

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications.
IEEE Internet Things J., 2021

2020
DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing.
IEEE Access, 2020


  Loading...