Ahmed Alagha

Orcid: 0000-0002-9275-2677

According to our database1, Ahmed Alagha authored at least 16 papers between 2019 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

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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