Tran, P. H., & Heuchenne, C. (2021). Monitoring the Coefficient of Variation using Variable Sampling Interval CUSUM control charts. Journal of Statistical Computation and Simulation, 91 (3), 501-521. doi:10.1080/00949655.2020.1819278 |
Tran, P. H., Heuchenne, C., Nguyen, H. D., & Marie, H. (2021). Monitoring coefficient of variation using one-sided run rules control charts in the presence of measurement errors. Journal of Applied Statistics, 48 (12), 2178- 2204. doi:10.1080/02664763.2020.1787356 |
Tran, K. P., Nguyen, H. D., Tran, P. H., & Heuchenne, C. (2019). On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors. International Journal of Advanced Manufacturing Technology, 104 (5-8), 1903-1917. doi:10.1007/s00170-019-03987-6 |
Tran, P. H., Tran, K. P., & Athanasios, R. (2019). A Synthetic median control chart for monitoring the process mean with measurement errors. Quality and Reliability Engineering International, 35 (4), 1100-1116. doi:10.1002/qre.2447 |
Nguyen, H. D., Tran, P. H., Do, T. H., & Tran, K. P. (2023). Quality Control for Smart Manufacturing in Industry 5.0. In Artificial Intelligence for Smart Manufacturing (pp. 35-64). Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-30510-8_3 |
Tran, P. H., Tran, K. P., Heuchenne, C., & Nguyen, H. D. (2022). Monitoring Coefficient of Variation Using CUSUM Control Charts. In Springer Handbook of Engineering Statistics, 2nd ed. Germany: Springer. doi:10.1007/978-1-4471-7503-2_18 |
Marcos Alvarez, A., Heuchenne, C., Tran, P. H., & Faraz, A. (2021). Decision support system with Genetic algorithm for economic statistical design of Nonparametric control charts. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems. United States: Taylor & Francis. |
Tran, P. H., Nguyen, Q. T., Tran, K. P., & Heuchenne, C. (2020). Wearable sensor data based human activity recognition using deep learning: A new approach. In Developments of Artificial Intelligence Technologies in Computation and Robotics (pp. 581-588). WORLD SCIENTIFIC. doi:10.1142/9789811223334_0070 |
Tran, P. H., Heuchenne, C., & Thomassey, S. (2022). Enhanced CUSUM control charts for monitoring Coefficient of Variation: A case study in Textile industry. IFAC-PapersOnLine. doi:10.1016/j.ifacol.2022.09.552 |
Tran, P. H., Heuchenne, C., & Thomassey, S. (2020). An Anomaly Detection Approach based on the combination of LSTM Autoencoder and Isolation Forest for multivariate time series data. In 14th International FLINS Conference on Robotics and Artificial Intelligence, Germany 2020 (FLINS 2020 proceedings). |
Tran, P. H., Rakitzis, A. C., Nguyen, H. D., Nguyen, Q. T., Tran, H., Tran, K. P., & Heuchenne, C. (2020). New Methods for Anomaly Detection: Run Rules Multivariate Coefficient of Variation Control Charts. In 2020 International Conference on Advanced Technologies for Communications (ATC) (pp. 40-44). IEEE. doi:10.1109/ATC50776.2020.9255479 |
Tran, P. H., & Heuchenne, C. (2019). CUSUM control charts for the Coefficient of Variation with Measurement Errors. In A. Dolgui, D. Ivanov, ... F. Yalaoui (Eds.), Proceedings of the 9th IFAC Conference Manufacturing Modelling, Management and Control MIM 2019. IFAC-PapersOnLine series (Elsevier). doi:10.1016/j.ifacol.2019.11.477 |
Tran, P. H., Heuchenne, C., & Nguyen, H. D. (2019). One-Sided Run Rules control charts for Coefficient of Variation with Measurement Errors. In Proceedings of ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2019) (pp. 31-35). |
Tran, P. H., Tran, K. P., Thu Huong, T., Heuchenne, C., Hientran, P., & Huong Le. (2018). Real Time Data-Driven Approaches for Credit Card Fraud Detection. In ICEBA 2018 Proceedings of the 2018 International Conference on E-Business and Applications. doi:10.1145/3194188.3194196 |
Tran, P. H., Tran, K. P., Thu Huong, T., Heuchenne, C., Nguyen, T. A. D., & Ngon, D. (2018). A Variable Sampling Interval EWMA Distribution-Free Control Chart for Monitoring Services Quality. In ICEBA 2018 Proceedings of the 2018 International Conference on E-Business and Applications (pp. 1-5). doi:10.1145/3194188.3194191 |