T. Banfalvi, D.H. Nguyen, K.D. Tran*, G. Tartare, P. Bruniaux, K.P. Tran. (2025). Mesh Deep Support Vector Data Description: Unsupervised Anomaly Detection in 3D Human Leg Morphologies for Adaptive Compression Stocking Design. Intelligent Systems with Applications, Elsevier. https://doi.org/10.1016/j.iswa.2026.200679
T.T.V. Nguyen, C. Heuchenne, K.D. Tran, G. Tartare, K.P. Tran. (2025). SVDD Control Charts Based on MEWMA Technique for Monitoring Compositional Data. Computers & Industrial Engineering, Elsevier. https://doi.org/10.1016/j.cie.2025.110865
A. Raza, S. Li, K.P. Tran, L. Koehl, K.D. Tran*. (2024). Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications. Knowledge-Based Systems, Elsevier (Under Review).
A. Raza, K.P. Tran, L. Köehl, X. Zeng, K. Benzaidi, S. Li, S. Hotham, K.D. Tran*. (2024). Lightweight Transformer in Federated Setting for Human Activity Recognition in Home Care. Pattern Recognition, Elsevier (Under Review). https://doi.org/10.2139/ssrn.5021631
H.D. Nguyen, A.A. Nadi, K.D. Tran*, P. Castagliola, G. Celano, K.P. Tran. (2023). The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables. International Journal of Production Research, Taylor & Francis, 61(20), 6746-6771. https://doi.org/10.1080/00207543.2022.2137594
A.A. Nadi, B.S. Gildeh, J. Kazempoor, K.D. Tran, K.P. Tran. (2023). Cost-effective optimization strategies and sampling plan for Weibull quantiles under type-II censoring. Applied Mathematical Modelling, Elsevier, 114, 16-31. https://doi.org/10.1016/j.apm.2022.11.004
K.D. Tran, A.A. Nadi, T.H. Nguyen, K.P. Tran. (2021). One-sided Shewhart control charts for monitoring the ratio of two normal variables in short production runs. Journal of Manufacturing Processes, Elsevier, 69, 273-289. https://doi.org/10.1016/j.jmapro.2021.07.031
H.D. Nguyen, K.P. Tran, K.D. Tran*. (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. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2020.11.042
Q.T. Nguyen, V. Giner-Bosch, K.D. Tran, C. Heuchenne, K.P. Tran. (2021). One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors. The International Journal of Advanced Manufacturing Technology, Springer, 115, 1821-1851. https://doi.org/10.1007/s00170-021-07138-8
K.D. Tran, H.D. Nguyen, T.H. Nguyen, K.P. Tran. (2021). Design of a variable sampling interval exponentially weighted moving average median control chart in the presence of measurement errors. Quality and Reliability Engineering International, 37(2), 374-390. https://doi.org/10.1002/qre.2726
T. Nguyen, Q.T. Nguyen, K.D. Tran*, L. Koehl, K.P. Tran. (2024). Transformer-Based Models for Predicting High-Risk Diabetes in Women using Tabular Data. In: Responsible Artificial Intelligence and Data Science, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-14055-5_6
L.H. Nguyen, Q.T. Nguyen, K.D. Tran*, H.D. Nguyen, S. Thomassey, X. Zeng, K.P. Tran. (2024). Deep CNN for Remaining Useful Life Prediction: An XAI Approach Using SHAP for Model Interpretation. In: Responsible Artificial Intelligence and Data Science, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-14055-5_12
D.H. Nguyen, K.D. Tran*, N.A. Luong, M.A. Luong, K.P. Tran. (2024). Artificial Intelligence for Human Resource Management: A Review, Perspective, and Case Study. In: Responsible Artificial Intelligence and Data Science, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-14055-5_7
T.T.V. Nguyen, C. Heuchenne, K.D. Tran, G. Tartare, K.P. Tran. (2024). Explainable Transformer-based Approach for ECG Anomaly Detection. In: Responsible Artificial Intelligence and Data Science, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-14054-8 (book DOI)
T. Banfalvi, D.H. Nguyen, K.D. Tran*, G. Tartare, P. Bruniaux, L.H. Le, X. Zeng, K.P. Tran. (2024). Deep Convolutional K-Means of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings. In: Responsible Artificial Intelligence and Data Science, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-14055-5_1
T. Banfalvi, K.D. Tran*, G. Tartare, P. Bruniaux, K.P. Tran. (2024). Unsupervised classification of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings: A survey and perspective. In: Responsible Artificial Intelligence and Data Science, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-14055-5_2
D.H. Nguyen, D.P.T. Nguyen, Q.C. Ta, S. Thomassey, K.D. Tran*. (2025). Natural Language Processing applications in Smart Manufacturing: A Survey and Perspective. In: Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-13657-2_7
T.H. Nguyen, J.M. Masereel, D.H. Nguyen, K.D. Tran*, K.P. Tran. (2025). Explainable anomaly detection with Artificial Intelligence and Statistical Methods for Predictive Maintenance in Smart Manufacturing systems: A Survey and Perspective. In: Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-13657-2_6
D.H. Nguyen, D.P.T. Nguyen, Q.C. Ta, S. Thomassey, K.D. Tran*, K.P. Tran. (2025). Human-Centered Explainable Anomaly Detection in Smart Manufacturing: Bridging AI and Human Decision-Making in Industry 5.0. In: Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-13657-2_5
V.H. Tran, D.H. Nguyen, K.D. Tran*, S. Thomassey, K.P. Tran. (2025). Anomaly and Novelty Detection in Non-Stationary Time Series: Deep, Hybrid, and Federated Perspectives. In: Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-13656-5 (book DOI)
T.Q.D. Pham, K.D. Tran*, K.T.P. Nguyen, X.V. Tran, L. Koehl, K.P. Tran. (2025). A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning. In: Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-032-13657-2_8
T.H. Nguyen, A. Saghir, K.D. Tran*, D.H. Nguyen, N.A. Luong, K.P. Tran. (2024). Safety and Reliability of Artificial Intelligence systems. In: Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-71495-5_9
T. Nguyen, D.H. Nguyen, Q.T. Nguyen, K.D. Tran*, K.P. Tran. (2024). Human-Centered Edge AI and Wearable Technology for Workplace Health and Safety in Industry 5.0. In: Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-71495-5_8
H.C. Vu, K.D. Tran*, V.H. Tran, K.P. Tran. (2024). Predictive Maintenance Optimization based on Genetic Algorithms for Future Industrial Systems. In: Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-71495-5_3
D.H. Nguyen, T.H. Nguyen, K.D. Tran*, K.P. Tran. (2024). Physics-Informed Machine Learning for Industrial Reliability and Safety Engineering: A Review and Perspective. In: Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-71495-5_2
L.H. Nguyen, K.D. Tran*, X. Zeng, K.P. Tran. (2024). Human-Centered Edge Artificial Intelligence for Smart Factory Applications in Industry 5.0: A Review and Perspective. In: Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges, Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-71495-5_5
T.T.V. Nguyen, C. Heuchenne, K.D. Tran, K.P. Tran. (2024). A Novel Transformer-Based Anomaly Detection Approach for ECG Monitoring Healthcare System. In: International Conference on Safety and Security in IoT, Springer Nature Switzerland Publishing, pp. 111-129. https://doi.org/10.1007/978-3-031-53028-9_7
A. Saghir, H. Beniwal, K.D. Tran, A. Raza, L. Koehl, X. Zeng, K.P. Tran. (2023). Explainable Transformer-Based Anomaly Detection for Internet of Things Security. In: International Conference on Safety and Security in IoT, Springer Nature Switzerland Publishing, pp. 83-109. https://doi.org/10.1007/978-3-031-53028-9_6
T. Nguyen, K.D. Tran*, A. Raza, Q.T. Nguyen, H.M. Bui, K.P. Tran. (2023). Wearable Technology for Smart Manufacturing in Industry 5.0. In: Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges, Springer International Publishing, pp. 225-254. https://doi.org/10.1007/978-3-031-30510-8_11
T.P. Bac, D.T. Ha, K.D. Tran*, K.P. Tran. (2023). Explainable Artificial Intelligence for Cybersecurity in Smart Manufacturing. In: Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges, Springer International Publishing, pp. 199-223. https://doi.org/10.1007/978-3-031-30510-8_10
D.T. Ha, T.P. Bac, K.D. Tran*, K.P. Tran. (2023). Efficient and Trustworthy Federated Learning-Based Explainable Anomaly Detection: Challenges, Methods, and Future Directions. In: Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges, Springer International Publishing, pp. 145-166. https://doi.org/10.1007/978-3-031-30510-8_8
T.H. Nguyen, H.D. Nguyen, K.D. Tran*, D.D.K. Nguyen, K.P. Tran. (2022). Enabling smart supply chain management with artificial intelligence. In: Machine Learning and Probabilistic Graphical Models for Decision Support Systems, CRC Press, pp. 294-310. https://doi.org/10.1201/9781003189886-12
P.H. Tran, A.A. Nadi, T.H. Nguyen, K.D. Tran, K.P. Tran. (2022). Application of machine learning in statistical process control charts: A survey and perspective. In: Control Charts and Machine Learning for Anomaly Detection in Manufacturing, Springer Cham, pp. 7-42. https://doi.org/10.1007/978-3-030-83819-5_2
T.T.V. Nguyen, T.H. Nguyen, K.D. Tran, C. Heuchenne, K.P. Tran. (2023). Monitoring the Ratio of Two Normal Variables and Compositional Data: A Literature Review and Perspective. In: Advances of Computational Techniques for Smart Manufacturing in the Industry 5.0: Methods and Applications, CRC Press (Accepted). https://hal.science/hal-04331557
1. L.H. Nguyen, V.U. Ngo, K.D. Tran, S. Thomassey, K.P. Tran (2026), “Anomaly Detection and Fault Classification of Rolling Bearings Using Vibration Signals: Toward Approach on Edge Devices in Industry,” in The 2nd European Alliance for Innovation (EAI) International Conference on Responsible Artificial Intelligence and Data Science RAIDS 2026, 10 - 12 March 2026, Da Nang, Vietnam
2. D.H. Nguyen, K.D. Tran, T. Banfalvi, I.P. Miguelez, A.R. Labanieh, X. Zeng, D. Soulat, K.P. Tran (2026), “Physics-Guided Neural Networks for pressure prediction in Medical compression stockings,” in The 2nd European Alliance for Innovation (EAI) International Conference on Responsible Artificial Intelligence and Data Science RAIDS 2026, 10 - 12 March 2026, Da Nang, Vietnam
3. D.H. Nguyen, K.D. Tran, G. Tartare, L. Koehl, K.P. Tran (2026), “Multimodal large language models for Recycling Classification,” in The 2nd European Alliance for Innovation (EAI) International Conference on Responsible Artificial Intelligence and Data Science RAIDS 2026, 10 - 12 March 2026, DaNang, Vietnam
4. V.H. Tran, K.D. Tran, S. Thomassey, K.P. Tran (2026), “Adaptive-TranAD: Online Test-Time Adaptation for Non-Stationary Multivariate Time Series Anomaly Detection,” in The 2nd European Alliance for Innovation (EAI) International Conference on Responsible Artificial Intelligence and Data Science RAIDS 2026, 10 - 12 March 2026, Da Nang, Vietnam
5. T. Nguyen, Q.T. Nguyen, K.D. Tran*, L. Koehl, K.P. Tran (2024), “Transformer-Based Models for Predicting High-Risk Diabetes in Women using Tabular Data,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam
6. L.H. Nguyen, Q.T. Nguyen, K.D. Tran*, H.D. Nguyen, S. Thomassey, X. Zeng, K.P. Tran (2024), “Deep CNN for Remaining Useful Life Prediction: An XAI Approach Using SHAP for Model Interpretation,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam
7. D.H. Nguyen, K.D. Tran*, N.A. Luong, M.A. Luong, K.P. Tran (2024), “Artificial Intelligence for Human Resource Management: A Review, Perspective, and Case Study,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam
8. T.T.V. Nguyen, C. Heuchenne, K.D. Tran, G. Tartare, K.P. Tran (2024), “Explainable Transformer-based Approach for ECG Anomaly Detection,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam
9. T. Banfalvi, D.H. Nguyen, K.D. Tran, G. Tartare, P. Bruniaux, L.H. Le, X. Zeng, K.P. Tran (2024), “Deep Convolutional K-Means of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam
10. T. Banfalvi, K.D. Tran, G. Tartare, P. Bruniaux, K.P. Tran (2024), “Unsupervised classification of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings: A survey and perspective,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam
11. T.Banfalvi, D.H. Nguyen, K.D. Tran, G. Tartare, P. Bruniaux, L.H. Le, X. Zeng, K.P. Tran (2024), “Deep Convolutional K-Means of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam (Accepted).
12. T. Banfalvi, K.D. Tran, G. Tartare, P. Bruniaux, K.P. Tran (2024), “Unsupervised classification of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings: A survey and perspective,” in International Conference on Responsible Artificial Intelligence and Data Science, DaNang, Vietnam (Accepted).
13. T.T.V. Nguyen, C. Heuchenne, K.D. Tran, K.P. Tran.(2024). “A Novel Transformer-Based Anomaly Detection Approach for ECG Monitoring Healthcare System,” proceeding of the International Conference on Safety and Security in IoT, Springer Nature Switzerland Publishing, pp 111-129, http://dx.doi.org/10.1007/978-3-031-53028-9_7
14. A. Saghir, H. Beniwal, K.D. Tran, A. Raza, L. Koehl, X. Zeng, K.P. Tran.(2023). “Explainable Transformer-Based Anomaly Detection for Internet of Things Security,” proceeding of the International Conference on Safety and Security in IoT,Springer Nature Switzerland Publishing, pp83-109, http://dx.doi.org/10.1007/978-3-031-53028-9_6
15. T. Nguyen, K.D.Tran, A.Raza, Q.T. Nguyen, H.M.Bui, K.P.Tran.(2023). “Wearable Technology for Smart Manufacturing in Industry 5.0 Applications, Challenges, and Case Studies ” proceeding of the Conference: ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2023)At: Danang, Vietnam, https://www.researchgate.net/publication/368283956_Wearable_Technology_for_Smart_Manufacturing_in_Industry_50_Applications_Challenges_and_Case_Studies
16. T.H.Nguyen, H.D.Nguyen, K.D.Tran, D.D.K.Nguyen, P.H.Tran, K.P.Tran.(2023). “Smart Supply Chain Management with Artificial Intelligence: a survey and perspective ” proceeding of the Conference: ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2023)At: Danang, Vietnam, https://www.researchgate.net/publication/368283704_Smart_Supply_Chain_Management_with_Artificial_Intelligence_a_survey_and_perspective
17. T.H. Nguyen, H.D.Nguyen, K.D.Tran, T.H.Truong, K.H.Phung, L.H.Nguyen, T.T.N. Le, K.P.Tran.(2019). “One-Sided Synthetic-RZ control charts: a new method for anomaly detection ” proceeding of the 6th NAFOSTED Conference on Information and Computer Science (NICS).IEEE, pp. 262-267. http://dx.doi.org/10.1109/NICS48868.2019.9023851