Kim Phuc Tran
Orcid: 0000-0002-6005-1497
According to our database1,
Kim Phuc Tran
authored at least 43 papers
between 2016 and 2024.
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Bibliography
2024
Analyzing out-of-control signals of T<sup>2</sup> control chart for compositional data using artificial neural networks.
Expert Syst. Appl., March, 2024
2023
Incorporating principal component analysis into Hotelling T2 control chart for compositional data monitoring.
Comput. Ind. Eng., December, 2023
The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables.
Int. J. Prod. Res., October, 2023
Monitoring autocorrelated compositional data vectors using an enhanced residuals Hotelling T2 control chart.
Comput. Ind. Eng., July, 2023
Optimal design and evaluation of adaptive EWMA monitoring schemes for Inverse Maxwell distribution.
Comput. Ind. Eng., July, 2023
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction.
Comput. Ind., June, 2023
Analyzing abnormal pattern of hotelling T2 control chart for compositional data using artificial neural networks.
Comput. Ind. Eng., June, 2023
AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description.
Eng. Appl. Artif. Intell., May, 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
2022
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI.
Knowl. Based Syst., 2022
Int. J. Comput. Intell. Syst., 2022
Detection of Poisoning Attacks with Anomaly Detection in Federated Learning for Healthcare Applications: A Machine Learning Approach.
CoRR, 2022
CoRR, 2022
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems.
Comput. Ind., 2022
The effects of measurement errors on estimating and assessing the multivariate process capability with imprecise characteristic.
Comput. Ind. Eng., 2022
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems.
IEEE Access, 2022
2021
Sensors, 2021
Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors.
Qual. Reliab. Eng. Int., 2021
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.
Int. J. Inf. Manag., 2021
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., 2021
CoRR, 2021
Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach.
Comput. Ind., 2021
A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process.
Comput. Ind., 2021
IEEE Access, 2021
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021
2020
Qual. Reliab. Eng. Int., 2020
CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables.
Qual. Reliab. Eng. Int., 2020
Effect of the measurement errors on two one-sided Shewhart control charts for monitoring the ratio of two normal variables.
Qual. Reliab. Eng. Int., 2020
A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization.
CoRR, 2020
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning.
CoRR, 2020
A reinforcement learning based decision support system in textile manufacturing process.
CoRR, 2020
2019
A Synthetic median control chart for monitoring the process mean with measurement errors.
Qual. Reliab. Eng. Int., 2019
On the performance of coefficient of variation charts in the presence of measurement errors.
Qual. Reliab. Eng. Int., 2019
Monitoring the ratio of two normal variables using variable sampling interval exponentially weighted moving average control charts.
Qual. Reliab. Eng. Int., 2019
Qual. Reliab. Eng. Int., 2019
A data-driven approach for Network Intrusion Detection and Monitoring based on Kernel Null Space.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2019
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach.
CoRR, 2019
2018
Steady-state ARL analysis of ARL-unbiased EWMA-RZ control chart monitoring the ratio of two normal variables.
Qual. Reliab. Eng. Int., 2018
Monitoring compositional data using multivariate exponentially weighted moving average scheme.
Qual. Reliab. Eng. Int., 2018
One-Sided Synthetic Control Charts for Monitoring the Coefficient of Variation with Measurement Errors.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018
2017
Qual. Reliab. Eng. Int., 2017
Qual. Reliab. Eng. Int., 2017
2016
Qual. Reliab. Eng. Int., 2016