Ahmed Alagha

Orcid: 0000-0002-9275-2677

According to our database1, Ahmed Alagha authored at least 17 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning.
CoRR, November, 2025

Comprehensive review of reinforcement learning for medical ultrasound imaging.
Artif. Intell. Rev., September, 2025

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design.
CoRR, May, 2025

Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning.
CoRR, January, 2025

UAV-assisted Internet of vehicles: A framework empowered by reinforcement learning and Blockchain.
Veh. Commun., 2025

Poisoning behavioral-based worker selection in mobile crowdsensing using generative adversarial networks.
J. Netw. Comput. Appl., 2025

Adaptive target localization under uncertainty using Multi-Agent Deep Reinforcement Learning with knowledge transfer.
Internet Things, 2025

CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning.
Comput. Biol. Medicine, 2025

2024
Blockchain-based crowdsourced deep reinforcement learning as a service.
Inf. Sci., 2024

Blockchain-Assisted Demonstration Cloning for Multiagent Deep Reinforcement Learning.
IEEE Internet Things J., 2024

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions.
CoRR, 2024

2023
Multiagent Deep Reinforcement Learning With Demonstration Cloning for Target Localization.
IEEE Internet Things J., August, 2023

Influence- and Interest-Based Worker Recruitment in Crowdsourcing Using Online Social Networks.
IEEE Trans. Netw. Serv. Manag., June, 2023

2022
Target localization using Multi-Agent Deep Reinforcement Learning with Proximal Policy Optimization.
Future Gener. Comput. Syst., 2022

2021
SDRS: A stable data-based recruitment system in IoT crowdsensing for localization tasks.
J. Netw. Comput. Appl., 2021

2020
RFLS - Resilient Fault-proof Localization System in IoT and Crowd-based Sensing Applications.
J. Netw. Comput. Appl., 2020

2019
Data-Driven Dynamic Active Node Selection for Event Localization in IoT Applications - A Case Study of Radiation Localization.
IEEE Access, 2019


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