Ahmed Saleh Bataineh

According to our database, Ahmed Saleh Bataineh authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Ahmed Saleh Bataineh

Inf. Syst. Frontiers, August, 2024

Trust-driven reinforcement selection strategy for federated learning on IoT devices.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Computing, April, 2024

Generative Adversarial Networks for Robust Anomaly Detection in Noisy IoT Environments.

Adel Abusitta, Talal Halabi, Ahmed Saleh Bataineh, Mohammad Zulkernine

Proceedings of the IEEE International Conference on Communications, 2024

2023

Detection of Cyberbullying in Social Media Texts Using Explainable Artificial Intelligence.

Mohammad Rafsun Islam, Ahmed Saleh Bataineh, Mohammad Zulkernine

Proceedings of the Ubiquitous Security, 2023

2022

Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model.

Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi

IEEE Trans. Netw. Serv. Manag., 2022

2021

Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh

Concurr. Comput. Pract. Exp., 2021

Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Proceedings of the Mobile Web and Intelligent Information Systems, 2021

Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game.

Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

Toward monetizing personal data: A two-sided market analysis.

Ahmed Saleh Bataineh, Rabeb Mizouni, Jamal Bentahar, May El Barachi

Future Gener. Comput. Syst., 2020

A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market.

Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub

Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

2019

Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh

Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

2017

Specifying and verifying contract-driven service compositions using commitments and model checking.

Ahmed Saleh Bataineh, Jamal Bentahar, Mohamed El-Menshawy, Rachida Dssouli

Expert Syst. Appl., 2017

Dynamic Pricing for Maximizing Cloud Revenue: A Column Generation Approach.

Fadi Alzhouri, Anjali Agarwal, Yan Liu, Ahmed Saleh Bataineh

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017

2016

Monetizing Personal Data: A Two-Sided Market Approach.

Ahmed Saleh Bataineh, Rabeb Mizouni, May El Barachi, Jamal Bentahar

Proceedings of the 7th International Conference on Ambient Systems, 2016

2014

Using model checking for Trivial File Transfer Protocol validation.

Saed Alrabaee, Ahmed Saleh Bataineh, Fawaz Ali Khasawneh, Rachida Dssouli

Proceedings of the Fourth International Conference on Communications and Networking, 2014