Hani Sami
Orcid: 0000-0002-6925-1006
According to our database1,
Hani Sami
authored at least 28 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning.
CoRR, November, 2025
Artif. Intell. Rev., September, 2025
On-Demand Model and Client Deployment in Federated Learning With Deep Reinforcement Learning.
IEEE Internet Things J., July, 2025
Efficient privacy-preserving ML for IoT: Cluster-based split federated learning scheme for non-IID data.
J. Netw. Comput. Appl., 2025
Reward shaping in DRL: A novel framework for adaptive resource management in dynamic environments.
Inf. Sci., 2025
CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning.
Comput. Biol. Medicine, 2025
Multi-Agent Deep Reinforcement Learning for Resource Management in On-Demand Environments.
Proceedings of the International Wireless Communications and Mobile Computing, 2025
Proceedings of the International Wireless Communications and Mobile Computing, 2025
2024
Future Gener. Comput. Syst., January, 2024
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication.
J. Netw. Comput. Appl., 2024
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions.
CoRR, 2024
IEEE Commun. Surv. Tutorials, 2024
2023
IEEE Trans. Netw. Serv. Manag., September, 2023
On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme.
IEEE Internet Things J., September, 2023
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing.
IEEE Internet Things J., January, 2023
Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
2022
IEEE Trans. Serv. Comput., 2022
Inf. Sci., 2022
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme.
CoRR, 2022
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing.
CoRR, 2022
2021
AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., 2021
2020
Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services.
IEEE/ACM Trans. Netw., 2020
IEEE Trans. Netw. Serv. Manag., 2020
J. Supercomput., 2020
AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions.
IEEE Internet Things Mag., 2020
FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
2019
On The Use of Software Defined Wireless Network in Vehicular Fog Computing Environments.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019