Danh sách bài báo khoa học

Nhóm nghiên cứu của viện IAD đang ứng dụng một số dự án về khoa học dữ liệu và trí tuệ nhân tạo vào thực tiễn các ngành Kinh Doanh, Chăm sóc sức khỏe, và tài chính

1/ Human Activity Recognition (HAR) by using machine learning with the applications:

  • Project’s name: HAR by using machine learning with the applications
  • Leader of project: Huu Du Nguyen, Quoc Thong Nguyen, Phuong Hanh Tran, Phuong Hien Tran
  • Sponsor: Dong A University
  • Publications:
  1. H.D. Nguyen, K.P. Tran, X. Zeng, L. Koehl, and G. Tartare. An Improved Ensemble Machine Learning Algorithm for Wearable Sensor Data Based Human Activity Recognition. Reliability and Statistical Computing, 207-228, 2020.

 

  1. H.D. Nguyen, K.P. Tran, X. Zeng, L. Koehl, and G. Tartare. Wearable sensor data based human activity recognition using machine learning: a new approach. ISSAT International Conference on Data Science in Business, Finance and Industry, pp: 6-10, 2019.

 

  1. P.H. Tran, Q.T. Nguyen, K.P. Tran, and C. Heuchenne. Wearable Sensor Data Based Human Activity Recognition using Deep Learning: A new approach. FLINS/ISKE 2020, Sep 2020, Cologne, Germany.

 

2/ Smart manufacturing:

  • Project’s name: Artificial Intelligence techniques for Smart manufacturing
  • Leader of project: Huu Du Nguyen, Quoc Thong Nguyen, Phuong Hanh Tran, Phuong Hien Tran
  • Sponsor: Dong A University
  • Publications:
  1. Q.T. Nguyen, H.D. Nguyen, K.P. Tran., P. Castagliola, and E. Frénod. Real-Time Production Monitoring approach for Smart Manufacturing with Artificial Intelligence techniques. ISSAT International Conference on Data Science in Business, Finance and Industry, pp: 92-95, 2019.

 

  1. H.D. Nguyen, K.P. Tran, X. Zeng, L. Koehl, P. Castagliola, and P. Bruniaux. Industrial Internet of Things, big data, and artificial intelligence in the smart factory: A survey and perspective. ISSAT International Conference on Data Science in Business, Finance and Industry, pp: 64-68, 2019.

 

3/ Machine Learning and Control Charts for Anomaly detection:

  • Project’s name: Machine Learning and Control Charts for Anomaly detection
  • Leader of project: Huu Du Nguyen, Quoc Thong Nguyen, Phuong Hanh Tran, Phuong Hien Tran
  • Sponsor: Dong A University
  • Publications:
  1. K.P. Tran, P. Castagliola, and N. Balakrishnan. On the performance of Shewhart median chart in the presence of measurement errors. Quality and Reliability Engineering International. Vol. 33(5), pp. 1019-1029. Wiley Online Library, 2017

 

  1. P.H. Tran, K.P. Tran, T.H. Truong, C.N. Nguyen, and Dao N.T.A. A Variable Sampling Interval EWMA distribution-free control chart for monitoring services quality. 2018 International Conference on E-Business and Applications (ICEBA 2018), 2018.

 

  1. V.V. Trinh, K.P. Tran, and A.T. Mai. Anomaly detection in wireless sensor networks via support vector data description with Mahalanobis kernels and discriminative adjustment. Proceedings of the 4th NAFOSTED Conference on Information and Computer Science,  Hanoi, Vietnam, 2017.

 

  1. V.V. Trinh, K.P. Tran and T.H. Truong. Data driven hyperparameter optimization of one-class support vector machines for anomaly detection in wireless sensor networks. Proceedings of the 2017 International Conference on Advanced Technologies for Communications, Quy Nhon, Vietnam, 2017.

 

  1. Q.T. Nguyen, K.P. Tran, P. Castagliola, T.H. Truong, M.K. Nguyen, and S. Lardjane. Nested One-Class Support Vector Machines for Network Intrusion Detection. Proceedings of the Seventh IEEE International Conference on Communications and Electronics (ICCE), Hue, Vietnam, 18-20 July, 2018.

 

  1. P.H. Tran, K.P. Tran, and A.C. Rakitzis. A Synthetic median control chart for monitoring the process mean with measurement errors. Quality and Reliability Engineering International, 35(4), 1100-1116, 2019.

 

  1. T.H. Nguyen, H.D. Nguyen, K.D. Tran, K.H. Phung, T.H. Truong, T.N. Nguyen, L.H. Nguyen, and K.P. Tran. One-Sided Synthetic-RZ control charts: a new method for anomaly detection. 2019 6th NAFOSTED Conference on Information and Computer Science (NICS), 262-267, 2019

 

  1. T.H. Truong, B. Ta, Q. T. Nguyen, H.D. Nguyen, K.P. Tran. A Data-Driven Approach for Network Intrusion Detection and Monitoring Based on Kernel Null Space. International Conference on Industrial Networks and Intelligent Systems, 130-140, 2019.

 

  1. H.D. Nguyen, Q.T. Nguyen, K.P. Tran, and P.D. Ho. On the performance of VSI Shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors. The International Journal of Advanced Manufacturing Technology,  104, 211–243, 2019.

 

10.K.P. Tran, H. D. Nguyen, Q. T. Nguyen, and W. Chattinnawat. One-Sided Synthetic Control Charts for Monitoring the Coefficient of Variation with Measurement Errors. 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018.

 

  1. H.D. Nguyen, K.P. Tran, and S. Thomassey. Anomaly detection using Long Short Term Memory Networks and its applications in Supply Chain Management. IFAC-PapersOnLine, 52 (13), 2408-2412, 2019.

 

  1. H.D. Nguyen, K.P. Tran, and C. Heuchenne. Monitoring the ratio of two normal variables using variable sampling interval exponentially weighted moving average control charts. Quality and Reliability Engineering International 35 (1), 439-460, 2018.

 

  1. K.P. Tran, H.D. Nguyen, P.H. Tran, and C. Heuchenne. On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors. The International Journal of Advanced Manufacturing Technology, 104(5-8), 1903-1917, 2019.

 

  1. H.D. Nguyen, K.P. Tran, and L.H. Heuchenne. CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables. Quality and Reliability Engineering International 36 (2), 474-497, 2020.

 

  1. H.D. Nguyen, K.P. Tran, and T.N Goh. Variable sampling interval control charts for monitoring the ratio of two normal variables. Journal of Testing and Evaluation 48 (3), 2020.

 

  1. Q.T. Nguyen, K.P. Tran, L.H. Heuchenne, T.H. Nguyen, and H.D. Nguyen. Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variation. Applied Stochastic Models in Business and Industry 35 (5), 1253-1268, 2019.

 

  1. P.H. Tran, C. Heuchenne, and H.D .Nguyen. Monitoring coefficient of variation using one-sided run rules control charts in the presence of measurement errors. Journal of Applied Statistics, 1-27, 2020.

 

  1. H.D. Nguyen, Q.T. Nguyen, T.H. Nguyen, N. Balakrishnan, and K.P. Tran. The Performance of the EWMA Median Chart in the Presence of Measurement Error. Artificial Intelligence Evolution, 1, 48-62, 2020.

 

  1. H.D. Nguyen, K.P. Tran, G. Celano, P.E. Maravelakis, and P. Castagliola. On the effect of the measurement error on Shewhart t and EWMA t control charts. The International Journal of Advanced Manufacturing Technology, volume 107, pages 4317–4332, 2020.

 

  1. K.P. Tran, Castagliola P, T.H. Nguyen, A. Cuzol. Design of a Variable Sampling Interval EWMA Median Control Chart. International Journal of Reliability, Quality and Safety Engineering, 26(05), 2019.

 

4/ Credit card fraud detection with Artificial Intelligence:

  • Project’s name: Credit card fraud detection with Artificial Intelligence
  • Leader of project: Cédric Heuchenne, Phuong Hanh Tran, Phuong Hien Tran
  • Sponsor: Dong A University
  • Publications:

 

  1. P.H. Tran, K.P. Tran, T.H. Truong, C. Heuchenne, H. Tran and T.M.H. Le. Real time data-driven approaches for credit card fraud detection. Proceedings of the 2018 International Conference on E-Business and Applications, pp: 6-9, Feb 2018.
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