Search Results for author: Kim Phuc Tran

Found 7 papers, 1 papers with code

Proof of Swarm Based Ensemble Learning for Federated Learning Applications

no code implementations28 Dec 2022 Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li

We experimentally validated the performance of the proposed algorithm using ECG classification as an example application in healthcare, showing that the ensemble learning model outperformed all local models and even the FL-based global model.

ECG Classification Ensemble Learning +1

Explainable Anomaly Detection for Industrial Control System Cybersecurity

1 code implementation4 May 2022 Do Thu Ha, Nguyen Xuan Hoang, Nguyen Viet Hoang, Nguyen Huu Du, Truong Thu Huong, Kim Phuc Tran

Industrial Control Systems (ICSs) are becoming more and more important in managing the operation of many important systems in smart manufacturing, such as power stations, water supply systems, and manufacturing sites.

Anomaly Detection Explainable artificial intelligence

Lightweight Transformer in Federated Setting for Human Activity Recognition

no code implementations1 Oct 2021 Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li, Xianyi Zeng, Khaled Benzaidi

Moreover, in home healthcare applications the centralized approach can raise serious privacy concerns since the sensors used by a HAR classifier collect a lot of highly personal and sensitive data about people in the home.

Federated Learning Human Activity Recognition

A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization

no code implementations29 Dec 2020 Zhenglei He, Kim Phuc Tran, Sebastien Thomassey, Xianyi Zeng, Jie Xu, Chang Haiyi

Textile manufacturing is a typical traditional industry involving high complexity in interconnected processes with limited capacity on the application of modern technologies.

Decision Making

Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning

no code implementations2 Dec 2020 Zhenglei He, Kim Phuc Tran, Sebastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi

The case study result reflects that the proposed MARL system is possible to achieve the optimal solutions for the textile ozonation process and it performs better than the traditional approaches.

Multi-agent Reinforcement Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.