| Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management HD Nguyen, KP Tran, S Thomassey, M Hamad International Journal of Information Management 57, 102282, 2021 | 468 | 2021 |
| Designing ECG monitoring healthcare system with federated transfer learning and explainable AI A Raza, KP Tran, L Koehl, S Li Knowledge-Based Systems 236, 107763, 2022 | 149 | 2022 |
| Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach TT Huong, TP Bac, DM Long, TD Luong, NM Dan, BD Thang, KP Tran Computers in Industry 132, 103509, 2021 | 148 | 2021 |
| Light-weight federated learning-based anomaly detection for time-series data in industrial control systems HT Truong, BP Ta, QA Le, DM Nguyen, CT Le, HX Nguyen, HT Do, ... Computers in Industry 140, 103692, 2022 | 95 | 2022 |
| Lockedge: Low-complexity cyberattack detection in iot edge computing TT Huong, TP Bac, DM Long, BD Thang, NT Binh, TD Luong, TK Phuc IEEE Access 9, 29696-29710, 2021 | 89 | 2021 |
| Real time data-driven approaches for credit card fraud detection PH Tran, KP Tran, TT Huong, C Heuchenne, P HienTran, TMH Le Proceedings of the 2018 international conference on e-business and …, 2018 | 88 | 2018 |
| A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Yi Computers in Industry 125, 103373, 2021 | 71 | 2021 |
| Monitoring the ratio of two normal variables using Run Rules type control charts KP Tran, P Castagliola, G Celano International Journal of Production Research 54 (6), 1670-1688, 2016 | 68 | 2016 |
| Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Yi Journal of Manufacturing Systems 62, 939-949, 2022 | 67 | 2022 |
| Monitoring the ratio of population means of a bivariate normal distribution using CUSUM type control charts KP Tran, P Castagliola, G Celano Statistical Papers, 10.1007/s00362-016-0769-4, 2016 | 66 | 2016 |
| The performance of the Shewhart-RZ control chart in the presence of measurement error KP Tran, P Castagliola, G Celano International Journal of Production Research 54 (24), 7504-7522, 2016 | 65 | 2016 |
| Federated learning-based explainable anomaly detection for industrial control systems TT Huong, TP Bac, KN Ha, NV Hoang, NX Hoang, NT Hung, KP Tran IEEE Access 10, 53854-53872, 2022 | 61 | 2022 |
| The efficiency of CUSUM schemes for monitoring the coefficient of variation PH Tran, KP Tran Applied Stochastic Models in Business and Industry 32 (6), 870-881, 2016 | 60 | 2016 |
| Monitoring the ratio of two normal variables using EWMA type control charts KP Tran, P Castagliola, G Celano Quality and Reliability Engineering International 32 (5), 1853-1869, 2016 | 57 | 2016 |
| Anomaly detection using long short term memory networks and its applications in supply chain management KP Tran, H Du Nguyen, S Thomassey IFAC-PapersOnLine 52 (13), 2408-2412, 2019 | 53 | 2019 |
| Designing of run rules t control charts for monitoring changes in the process mean KP Tran Chemometrics and Intelligent Laboratory Systems 174, 85-93, 2018 | 47 | 2018 |
| On the performance of VSI Shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors HD Nguyen, QT Nguyen, KP Tran, DP Ho The International Journal of Advanced Manufacturing Technology 104, 211-243, 2019 | 44 | 2019 |
| Monitoring the ratio of two normal variables using variable sampling interval exponentially weighted moving average control charts HD Nguyen, KP Tran, C Heuchenne Quality and Reliability Engineering International 35 (1), 439-460, 2019 | 44 | 2019 |
| An EWMA-type sign chart with exact run length properties P Castagliola, KP Tran, G Celano, AC Rakitzis, PE Maravelakis Journal of quality technology 51 (1), 51-63, 2019 | 43 | 2019 |
| Application of machine learning in statistical process control charts: A survey and perspective PH Tran, A Ahmadi Nadi, TH Nguyen, KD Tran, KP Tran Control charts and machine learning for anomaly detection in manufacturing, 7-42, 2022 | 42 | 2022 |
Huu Du NguyenSchool of Applied Mathematics and Informatics, Hanoi University of Science and Technology, HanoiVerified email at hust.edu.vn
