Kim Phuc Tran

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Measurement Errors

Weighted Moving Average

Using Artificial Neural Networks

Top Venues

Qual. Reliab. Eng. Int.

Comput. Ind. Eng.

Publications

Muhammad Imran, Hong-Liang Dai, Fatima Sehar Zaidi, Xuelong Hu, Kim Phuc Tran, Jinsheng Sun
control chart for compositional data using artificial neural networks. Expert Syst. Appl. 238 (Part E) (2024)
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
Proof of Swarm Based Ensemble Learning for Federated Learning Applications. SAC (2023)
Muhammad Imran, Hong-Liang Dai, Fatima Sehar Zaidi, Kim Phuc Tran, Zameer Abbas, Hafiz Zafar Nazir
Incorporating principal component analysis into Hotelling T2 control chart for compositional data monitoring. Comput. Ind. Eng. 186 (2023)
Huu Du Nguyen, Adel Ahmadi Nadi, Kim Duc Tran, Philippe Castagliola, Giovanni Celano, Kim Phuc Tran
The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables. Int. J. Prod. Res. 61 (20) (2023)
Huu Du Nguyen, Nguyen Hoang Long, Hai-Dang Kieu, Nguyen Viet Hoang, Truong Thu Huong, Kim Phuc Tran
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction. Comput. Ind. 148 (2023)
Fatima Sehar Zaidi, Hong-Liang Dai, Muhammad Imran, Kim Phuc Tran
Monitoring autocorrelated compositional data vectors using an enhanced residuals Hotelling T2 control chart. Comput. Ind. Eng. 181 (2023)
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description. Eng. Appl. Artif. Intell. 121 (2023)
Aamir Saghir, Xuelong Hu, Kim Phuc Tran, Zhi Song
Optimal design and evaluation of adaptive EWMA monitoring schemes for Inverse Maxwell distribution. Comput. Ind. Eng. 181 (2023)
Fatima Sehar Zaidi, Hong-Liang Dai, Muhammad Imran, Kim Phuc Tran
Analyzing abnormal pattern of hotelling T2 control chart for compositional data using artificial neural networks. Comput. Ind. Eng. 180 (2023)
Ali Raza, Shujun Li, Kim Phuc Tran, Ludovic Koehl
Detection of Poisoning Attacks with Anomaly Detection in Federated Learning for Healthcare Applications: A Machine Learning Approach. CoRR (2022)
Robab Afshari, Adel Ahmadi Nadi, Arne Johannssen, Nataliya Chukhrova, Kim Phuc Tran
The effects of measurement errors on estimating and assessing the multivariate process capability with imprecise characteristic. Comput. Ind. Eng. 172 (Part) (2022)
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI. Knowl. Based Syst. 236 (2022)
Thu-Huong Truong, Phuong Bac Ta, Le Anh Quang, Nguyen Minh Dan, Le Thanh Cong, Nguyen Xuan Hoang, Do Thu Ha, Nguyen Tai Hung, Kim Phuc Tran
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems. Comput. Ind. 140 (2022)
Sleiman Rita, Ahmad Mazyad, Moez Hamad, Kim Phuc Tran, Sébastien Thomassey
Forecasting Sales Profiles of Products in an Exceptional Context: COVID-19 Pandemic. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Do Thu Ha, Nguyen Xuan Hoang, Nguyen Viet Hoang, Huu Du Nguyen, Truong Thu Huong, Kim Phuc Tran
Explainable Anomaly Detection for Industrial Control System Cybersecurity. CoRR (2022)
Truong Thu Huong, Phuong Bac Ta, Hai-Dang Kieu, Nguyen Viet Hoang, Nguyen Xuan Hoang, Nguyen Tai Hung, Kim Phuc Tran
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems. IEEE Access 10 (2022)
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
Proof of Swarm Based Ensemble Learning for Federated Learning Applications. CoRR (2022)
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI. CoRR (2021)
Kim Duc Tran, Huu Du Nguyen, Thi Hien Nguyen, Kim Phuc Tran
Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors. Qual. Reliab. Eng. Int. 37 (1) (2021)
Kim Phuc Tran
Artificial Intelligence for Smart Manufacturing: Methods and Applications. Sensors 21 (16) (2021)
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li, Xianyi Zeng, Khaled Benzaidi
Lightweight Transformer in Federated Setting for Human Activity Recognition. CoRR (2021)
Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi
A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process. Comput. Ind. 125 (2021)
Truong Thu Huong, Phuong Bac Ta, Dao Minh Long, Bui Doan Thang, Nguyen T. Binh, Tran Duc Luong, Kim Phuc Tran
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing. IEEE Access 9 (2021)
Truong Thu Huong, Phuong Bac Ta, Dao Minh Long, Tran Duc Luong, Nguyen Minh Dan, Le Anh Quang, Le Thanh Cong, Bui Doan Thang, Kim Phuc Tran
Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach. Comput. Ind. 132 (2021)
Sleiman Rita, Kim Phuc Tran, Sébastien Thomassey
Long Term Demand Forecasting System for Demand Driven Manufacturing. APMS (1) (2021)
Huu Du Nguyen, Kim Phuc Tran, Sébastien Thomassey, Moez Hamad
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management. Int. J. Inf. Manag. 57 (2021)
Huu Du Nguyen, Kim Phuc Tran, Kim Duc Tran
The effect of measurement errors on the performance of the Exponentially Weighted Moving Average control charts for the Ratio of Two Normally Distributed Variables. Eur. J. Oper. Res. 293 (1) (2021)
Huu Du Nguyen, Kim Phuc Tran, Henri L. Heuchenne
CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables. Qual. Reliab. Eng. Int. 36 (2) (2020)
Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Changhai Yi
A reinforcement learning based decision support system in textile manufacturing process. CoRR (2020)
Huu Du Nguyen, Kim Phuc Tran
Effect of the measurement errors on two one-sided Shewhart control charts for monitoring the ratio of two normal variables. Qual. Reliab. Eng. Int. 36 (5) (2020)
Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning. CoRR (2020)
Truong Thu Huong, Phuong Bac Ta, Dao Minh Long, Bui Doan Thang, Nguyen T. Binh, Tran Duc Luong, Kim Phuc Tran
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing. CoRR (2020)
Fatima Sehar Zaidi, Philippe Castagliola, Kim Phuc Tran, Michael Boon Chong Khoo
Performance of the MEWMA-CoDa control chart in the presence of measurement errors. Qual. Reliab. Eng. Int. 36 (7) (2020)
Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Jie Xu, Haiyi Chang
A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization. CoRR (2020)
Huu Du Nguyen, Kim Phuc Tran, Xianyi Zeng, Ludovic Koehl, Guillaume Tartare
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach. CoRR (2019)
Vicent Giner-Bosch, Kim Phuc Tran, Philippe Castagliola, Michael Boon Chong Khoo
An EWMA control chart for the multivariate coefficient of variation. Qual. Reliab. Eng. Int. 35 (6) (2019)
Phuong Hanh Tran, Kim Phuc Tran, Athanasios C. Rakitzis
A Synthetic median control chart for monitoring the process mean with measurement errors. Qual. Reliab. Eng. Int. 35 (4) (2019)
Kim Phuc Tran, Cédric Heuchenne, Narayanaswamy Balakrishnan
On the performance of coefficient of variation charts in the presence of measurement errors. Qual. Reliab. Eng. Int. 35 (1) (2019)
Huu Du Nguyen, Kim Phuc Tran, Cédric Heuchenne
Monitoring the ratio of two normal variables using variable sampling interval exponentially weighted moving average control charts. Qual. Reliab. Eng. Int. 35 (1) (2019)
Thu Huong Truong, Phuong Bac Ta, Quoc Thong Nguyen, Huu Du Nguyen, Kim Phuc Tran
A Data-Driven Approach for Network Intrusion Detection and Monitoring Based on Kernel Null Space. INISCOM (2019)
Thu Huong Truong, Phuong Bac Ta, Quoc Thong Nguyen, Huu Du Nguyen, Kim Phuc Tran
A data-driven approach for Network Intrusion Detection and Monitoring based on Kernel Null Space. EAI Endorsed Trans. Ind. Networks Intell. Syst. 6 (20) (2019)
Kim Phuc Tran, Huu Du Nguyen, Quoc Thong Nguyen, Wichai Chattinnawat
One-Sided Synthetic Control Charts for Monitoring the Coefficient of Variation with Measurement Errors. IEEM (2018)
Kim Phuc Tran, Sven Knoth
Steady-state ARL analysis of ARL-unbiased EWMA-RZ control chart monitoring the ratio of two normal variables. Qual. Reliab. Eng. Int. 34 (3) (2018)
Kim Phuc Tran, Philippe Castagliola, Giovanni Celano, Michael B. C. Khoo
Monitoring compositional data using multivariate exponentially weighted moving average scheme. Qual. Reliab. Eng. Int. 34 (3) (2018)
Kim Phuc Tran, Philippe Castagliola, Narayanaswamy Balakrishnan
On the Performance of Shewhart median Chart in the Presence of Measurement Errors. Qual. Reliab. Eng. Int. 33 (5) (2017)
Kim Phuc Tran
Run Rules median control charts for monitoring process mean in manufacturing. Qual. Reliab. Eng. Int. 33 (8) (2017)
Kim Phuc Tran, Philippe Castagliola, Giovanni Celano
Monitoring the Ratio of Two Normal Variables Using EWMA Type Control Charts. Qual. Reliab. Eng. Int. 32 (5) (2016)