Updated: May 7, 2025

Table 1: Total number of articles and related achievements published by IAD from 2017 - 2025

No.	Section	2017	2018	2019	2020	2021	2022	2023	2024	2025	Total Quantity
1	International Journal	01	-	12	03	05	03	01	06	05	36
1.1	SCOPUS	-	-	01	-	-	-		02	01	04
1.2	SCIE	01	-	10	03	05	02		04	04	29
2	Proceeding of International Conference	02	05	06	02	01	02	02	02	-	22
3	Chapter	-	-	-	01	02	05	06	04	01	19

1. International Journal

1.1 SCOPUS

2025

1. J. Ivars, K. P. Tran, A. R. Labanieh, D. Soulat. (2025). Reliability modeling of tensile properties in recycled carbon fibers: a comparative fit of statistical distributions pre-and post-textile processing, Materials Today Communications, 111818

•           Q1, SJR 2024: 0.79, H-index: 71

2024

1. S. Rita, Q.T. Nguyen, A.L. Sandra, K.P. Tran, S. Thomassey. (2024). Evaluating the sales potential of new products using Machine Learning techniques and data collected from mobile applications, International Journal of Clothing Science and Technology, https://doi.org/10.1108/IJCST-07-2023-0099

• Q3, SJR 2024: 0.335, H-index: 45

2. S. A. F. Mortezanejad, R. Wang, G. M. Borzadaran, R. Ding, K. P. Tran. (2024). Profile Control Chart based on Maximum Entropy: Accepted-December 2024, REVSTAT-Statistical Journal

• Q3, SJR 2024: 0.331, H-index:22

2019

1. K. P. Tran, P. Castagliola, T. H. Nguyen, and A. Cuzol, "Design of a variable sampling interval EWMA median control chart", International Journal of Reliability, Quality and Safety Engineering, Vol. 26, no. 5 (2019): 1950021, https://doi.org/10.1142/S0218539319500219

• ​Q3, Ranking 211/905 (in Energy Engineering and Power Category) in 2020 - Top 25%

1.2 SCIE

2025

1. J. W. Teoh, W. L. Teoh, M. B. C. Khoo, K. P.  Tran, M. H. Lee. (2025). An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal, Quality Technology & Quantitative Management 22 (1), 84-104

• Q1, IF: 2.3 (2023)
• Ranking 29/153 journals (in Decision Science/ Information Systems and Management) in 2024
• Ranking 43/207 journals (in Decision Science/ Management Science and Operations Research) in 2024

2. J. W. Teoh, W. L. Teoh, X. L. Hu, K. P. Tran, D. G. Godase. (2025). A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal, Journal of Statistical Computation and Simulation 95 (1), 49-69.

• Q2, IF: 1.1 (2023)
• Ranking 79/171 journals (in Statistics, Probability and uncertainty) in 2024
• Ranking 713/1801 journals (in Mathematics) in2024

3. T. T. Van 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 201, 110865

• Q1, IF: 7.94 (according to Scopus in 2023)
• Ranking 18/346 journals (in Computer Science-miscellaneous) in 2024
• Ranking 64/522 journals (in Decision Science) in 2024
• Ranking 249/3197 journals (in Engineering) in 2024

 4. J. A. Bairaktaris, A. Johannssen, K.P. Tran (2025). Security strategies for AI systems in Industry 4.0, Quality and Reliability Engineering International 41 (2), 897-915.

• Q2, IF: 2.64 (according to Scopus in 2023)
• Ranking 216/522 journals (in Decision Science) in 2024
• Ranking 996/3197 journals (in Engineering) in 2024

 5. T. Q. D Pham, K. D. Tran, K. T. P. Nguyen, X. V. Tran, K. P. Tran. (2025). A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning, arXiv preprint arXiv:2503.05725

2024

1. Z. He, Z. Lu, X. Wang, Q. Xiong, K.P. Tran, S. Thomassey, X. Zeng, M. Hong, and Y. Man. (2024). Multiobjective Optimization of Papermaking Wastewater Treatment Processes under Economic, Energy, and Environmental Goals, Environmental Science & Technology, https://doi.org/10.1021/acs.est.4c03460

• Q1, IF: 10.8 (2023)
• Ranking 29/1017 journals (in Chemistry) in 2024 - Top 2.85%
• Ranking 24/1874 journals (in Environmental Science) 2024 - Top 1.28%
• Ranking journal 164/7678 (in Medicine) in 2024 - Top 2.13%

2. M. Orabi, K.P. Tran, S. Thomassey, P. Egger. (2024). Anomaly Detection in Smart Manufacturing: An Adaptive Adversarial Transformer based Model, Journal of Manufacturing Systems,   https://doi.org/10.1016/j.jmsy.2024.09.021

• Q1, IF: 12.2 (2023)
• Ranking 37/2021 journals (in Computer Science) in 2024
• Ranking 40/3197 journals (in Engineering) in 2024

3. F. S. Zaidi, Hong-Liang Dai, Muhammad Imran, Kim Phuc Tran. (2024). Enhanced Hybrid LSTM and SLAR Modeling for In-Depth Analysis of Temporal and Spatial Patterns in Compositional Data for Environmental Monitoring, Process Safety and Environmental Protection..

• Q1, IF: 6.9 (2023)
• Ranking 75/696 journals (In Chemical Engineering) in 2024
• Ranking 300/3197 journals (in Engineering) in 2024
• Ranking 206/1874 journals (in Environmental Science) in 2024

4. M. Imran, H.L. Dai, F.S; Zaidi, X. Hu, K.P. Tran, and J. Sun.  (2024). Analyzing Out-of-Control Signals of T2 Control Chart for Compositional Data using Artificial Neural Networks, Expert Systems With Applications.

2023 

1. A. Saghir, X. Hu, K. P. Tran, & Z. Song (2023). Optimal design and evaluation of adaptive EWMA monitoring schemes for Inverse Maxwell distribution. Computers & Industrial Engineering, 181, 109290.

• Q1, IF: 7.9

2. F. S. Zaidi, H. L. Dai, M. Imran, & K. P. Tran (2023). Analyzing abnormal pattern of hotelling T2 control chart for compositional data using artificial neural networks. Computers & Industrial Engineering, 180, 109254.

• Q1, IF: 7.9

3. F. S. Zaidi, H. L. Dai, M. Imran, & K. P. Tran (2023). Monitoring autocorrelated compositional data vectors using an enhanced residuals Hotelling T2 control chart. Computers & Industrial Engineering, 181, 109280.

• Q1, IF: 7.9

4. 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, 116, 16-31.

• Q1, IF: 5.336
• Ranking: 44/291 (in Modeling and Simulation) - Top 15.1%

2022

1. H. D. Nguyen, A. A. Nadi, K. D. Tran, P. Castagliola, G. Celano, & K. P. Tran (2022). The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables. International Journal of Production Research, 1-26

• Q1, IF: 9.018
• Ranking: 8/386 (in Industrial and Manufacturing Engineering) in 2021 - top 2.2%
• Ranking: 26/472 (in Strategy and Management) in 2021 - Top 5.5%
• Ranking: 13/182 (in Management Science and Operations Research) in 2021 - top 7.1% 

2. T. H. Truong, T. H. Do, H. T. T. Tran, D. V. Ngo, D. T. Bui, H. T. Nguyen, C. T. Truong, and N. N. Pham, "An effective foveated 360° image assessment based on graph convolution network," IEEE Access, 2022, https://doi.org/10.1109/ACCESS.2022.3204766.

• Q1, IF: 3.476;
• Ranking  58/391 (in Engineering (miscellaneous) Category) in 2021 - Top 14.8%
• Ranking  496/2772 (in Engineering Category) in 2021 - Top 17.9%
• Ranking  51/284 (in Computer Science (miscellaneous) Category) in 2021 - Top 18%
• Ranking  452/1753 (in Computer Science Category) in 2021 - Top 25.8%

3. T. H. Truong, P. B. Ta, Q. A. Le, D. M. Nguyen, C. T. Le, H. X. Nguyen, T. H. Do, H. T. Nguyen, and K. P. Tran, “Light-weight federated learning-based anomaly detection for time-series data in industrial control systems”, Computers in Industry, Vol 140 (2022), 103692, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103692.

• Q1, IF: 11.245;
• Ranking 11/284 (in Computer Science (miscellaneous) Category) in 2021 - Top 3.9%
• Ranking 94/1753 (in Computer Science Category) in 2021 - Top 5.4%
• Ranking 11/414 (in Engineering (miscellaneous) Category) in 2021 - Top 2.7%
• Ranking 89/2772 (in Engineering Category) in 2021 - Top 3.2%

2021

1. H. D. Nguyen, K.P. Tran, S. Thomassey, and M. Hamad, k “Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management”, International Journal of Information Management, Vol 57 (2021), ISSN 0268-4012, https://doi.org/10.1016/j.ijinfomgt.2020.102282

• Q1, IF: 14.098;
• Ranking 42/1661 (in Computer Science Category) in 2020 - Top 2.5%
• Ranking 89/6699 (in Social Sciences Category) in 2020 - Top 1.3%
• Ranking 4/230 (in Library and Information Sciences Category) in 2020 - Top 1.7%
• Ranking 9/295 (in Computer Networks and Communications Category) in 2020 - Top 3.1%
• Ranking 7/202 (in Artificial Intelligence Category) in 2020 - Top 3.5%

2. K. D. Tran, Q-U-A. Khaliq, A. A. Nadi, T. H. Nguyen, and K. P. Tran, "One-sided Shewhart control charts for monitoring the ratio of two normal variables in short production runs", Journal of Manufacturing Processes, Vol 69 (2021): 273-289, ISSN 1526-6125, https://doi.org/10.1016/j.jmapro.2021.07.031

• Q1, IF: 5.010;
• Ranking 218/2676 (in Engineering Category) in 2020 - Top 8.15%)
• Ranking 25/290 (in Industrial and Manufacturing Engineering Category) in 2020 - Top 8.62%)

3. Q. T. Nguyen, V. Giner-Bosch, K. D. Tran, C. Heuchenne, and K. P. Tran, "One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors", International Journal of Advanced Manufacturing Technology, Vol 115 (2021): 1821–1851, https://doi.org/10.1007/s00170-021-07138-8
(Q1, IF: 3.226, Ranking 409/2676 (in Engineering Category) in 2020 - Top 20%)

4. H.D. Nguyen, K.P. Tran, and K.D. Tran, “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, Volume 293, Issue 1 (2021): 203-218, ISSN 0377-2217, https://doi.org/10.1016/j.ejor.2020.11.042
(Q1, IF: 5.334, Ranking 5/269 (in Computer Science (miscellaneous) in 2020 - Top 1.9% )

5. K. D. Tran, H. D. Nguyen, T. H. Nguyen, and K. P. Tran, "Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors.", Quality and Reliability Engineering International, Vol 37, no.1, (2021): 374-390, https://doi.org/10.1002/qre.2726
(Q1, IF: 2.885, Ranking 438/2676 (in Engineering Category) in 2020 - Top 20%)

2020

1. H. D. Nguyen, A. A. Nadi, K. D. Tran, P. Castagliola, G. Celano, & K. P. Tran (2022). The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables. International Journal of Production Research, 1-26.

2. 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, Vol 107, no. 9 (2020): 4317-4332, https://doi.org/10.1007/s00170-020-05222-z
   (Q1, IF: 3.226, Ranking 409/2676 (in Engineering Category) in 2020 - Top 20%)
3. H. D. Nguyen, and K. P. Tran, "Effect of the measurement errors on two one‐sided Shewhart control charts for monitoring the ratio of two normal variables.", Quality and Reliability Engineering International, Vol 36, no. 5 (2020): 1731-1750, https://doi.org/10.1002/qre.2656
   (Q1, IF: 2.885, Ranking 438/2676 (in Engineering Category) in 2020 - Top 20%)
4. P. H. Tran, C. Heuchenne, H. D. Nguyen, and H. Marie, "Monitoring coefficient of variation using one-sided run rules control charts in the presence of measurement errors.", Journal of Applied Statistics, Vol 48, issue 12 (2020): 2178-2204, https://doi.org/10.1080/02664763.2020.1787356
   (Q3, IF: 1.404, Ranking 714/1533 (in Mathematics Category) in 2020)

2019

1. K.P. Tran, H.D. Nguyen, P.H. Tran, 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, Vol 104 (2019): 5-8, 1903-1917, https://doi.org/10.1007/s00170-019-03987-6
   (Q1, IF: 3.226, Ranking 409/2676 (in Engineering Category) in 2020 - Top 20%)
2. Q. T. Nguyen, K. P. Tran, P. Castagliola, G. Celano, and S. Lardjane, “One-sided synthetic control charts for monitoring the multivariate coefficient of variation.”, Journal of Statistical Computation and Simulation, Vol 89, no. 10 (2019): 1841-1862, https://doi.org/10.1080/00949655.2019.1600694
   (Q2, IF: 1.424, Ranking 93/269 (in Modeling and Simulation Category) in 2020)
3. H. D. Nguyen, K. P. Tran, and H. L. Heuchenne, "CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables.", Quality and Reliability Engineering International, Vol 36, no. 2 (2019): 474-497, https://doi.org/10.1002/qre.2595
   (Q1, IF: 2.885, Ranking 438/2676 (in Engineering Category) in 2020 - Top 20%)
4. 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, Vol 48, no. 3 (2019): 2505-2529, https://doi.org/10.1520/JTE20190327
   (Q3, IF: 1.264, Ranking 336/543 (in Mechanical Engineering Category) in 2020)
5. H. D. Nguyen, and E. Gouno, "Maximum likelihood and Bayesian inference for common-cause of failure model.", Reliability Engineering and System Safety, Vol 182 (2019): 56-62, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2018.10.003
   • Q1, IF: 6.188;
   • Ranking 4/160 (in Safety, Risk, Reliability and Quality Category) in 2020 - Top  2.5%)
   • Ranking 133/2676 (in Engineering Category) in 2020 - Top 5%)
6. H. D. Nguyen, Q. T. Nguyen, K. P. Tran, and D. P. 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, Vol 104, no. 1 (2019): 211-243, https://doi.org/10.1007/s00170-019-03352-7
   (Q1, IF: 3.226, Ranking 409/2676 (in Engineering Category) in 2020 - Top 20%)
7. 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, Vol 104, no. 5 (2019): 1903-1917, https://doi.org/10.1007/s00170-019-03987-6
   (Q1, IF: 3.226, Ranking 409/2676 (in Engineering Category) in 2020 - Top 20%)
8. 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, Vol 35, issue 4 (2019): 1100-1116, https://doi.org/10.1002/qre.2447
   (Q1, IF: 2.885, Ranking 438/2676 (in Engineering Category) in 2020 - Top 20%)
9. Q. T. Nguyen, K. P. Tran, H. L. 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, Vol 35, issue 5 (2019): 1253-1268, https://doi.org/10.1002/asmb.2472
   (Q2, IF: 1.338, Ranking 133/291 (in Business, Management and Accounting (miscellaneous) Category) in 2020)
10. 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, Vol 35, issue 1 (2019): 439-460, https://doi.org/10.1002/qre.2412
    (Q1, IF: 2.885, Ranking 438/2676 (in Engineering Category) in 2020 - Top 20%)

2017

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, no. 5 (2017): 1019-1029, https://doi.org/10.1002/qre.2087
   (Q1, IF: 2.885, Ranking 438/2676 (in Engineering Category) in 2020 - Top 20%)

2. Proceeding of International Conference

a.2022

1. T. H. Do, X. H. Nguyen, V. H. Nguyen, H. D. Nguyen, T. H. Truong, and  K. P. Tran, “Explainable Anomaly Detection for Industrial Control System Cybersecurity”, In Proceeding of the IFAC 10th conference on MANUFACTURING MODELING, MANAGEMENT AND CONTROL, Nantes, France, 22-24 Jun, 2022, https://doi.org/10.48550/arXiv.2205.01930
2. T. T. V. Nguyen, C. Heuchenne, and K. P. Tran, “Anomaly Detection for Compositional Data Using VSI MEWMA Control Chart”, In Proceeding of the IFAC 10th conference on MANUFACTURING MODELING, MANAGEMENT AND CONTROL, Nantes, France, 22-24 Jun, 2022, https://doi.org/10.48550/arXiv.2203.15438
   https://ifac.papercept.net/conferences/conferences/MIM22/program/MIM22_ContentListWeb_2.html

b. 2021

1. F. Ouedraogo, C. Heuchenne, Q. T. Nguyen, and H. Tran, "Data-Driven Approach for Credit Card Fraud Detection with Autoencoder and One-Class Classification Techniques", In Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021), Nantes, France, 5–9 Sept, 2021, Proceedings, Part I

c. 2020

1. P. H. Tran, A. C. Rakitzis, H. D. Nguyen, Q. T. Nguyen, H. Tran, K. P. Tran, and C. Heuchenne, "New Methods for Anomaly Detection: Run Rules Multivariate Coefficient of Variation Control Charts", In Proceedings of the 2020 International Conference on Advanced Technologies for Communications (ATC 2020), Nha Trang, Vietnam, 8-10 Oct, 2020, IEEE, ISSN: 2162-1039, https://doi.org/10.1109/ATC50776.2020.9255479
2. 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", In Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020), Cologne, Germany, 18 – 21 Aug 2020, pp. 581-588, https://doi.org/10.1142/9789811223334_0070

d. 2019

1. T. H. Nguyen, H. D. Nguyen, K. D. Tran, T. H. Truong, K. H. Phung, L. H. Nguyen, T. T. N. Le, and K. P. Tran, "One-Sided Synthetic-RZ control charts: a new method for anomaly detection", In Proceeding of the 2019 6th NAFOSTED Conference on Information and Computer Science (NICS), Ha Noi, Vietnam, 12-13 Dec, 2019, pp. 262-267, IEEE, https://doi.org/10.1109/NICS48868.2019.9023851
2. T. H. Truong, P. B. Ta, Q. T. Nguyen, H. D. Nguyen, and K. P. Tran, "A data-driven approach for Network Intrusion Detection and Monitoring based on Kernel Null Space", In the 5th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2019), Ho Chi Minh, Vietnam, 18 Aug, 2019, pp. 130-140, Springer, https://doi.org/10.1007/978-3-030-30149-1_11
3. P. H. Tran, C. Heuchenne, and H. D. Nguyen, "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), Da Nang, Vietnam, 3 - 5 Jul, 2019, pp. 31-35, http://hdl.handle.net/2268/242120
4. 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", In Proceedings of ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2019), Da Nang, Vietnam, 3 - 5 Jul, 2019, pp. 72-76, https://hal.archives-ouvertes.fr/hal-02268119/
5. 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", In Proceedings of ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2019), Da Nang, Vietnam, 3 - 5 Jul, 2019, pp. 100-103, https://hal.archives-ouvertes.fr/hal-02268131/
6. 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", In Proceedings of ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2019), Da Nang, Vietnam, 3 - 5 Jul, 2019, pp. 6-10.

e. 2018

1. 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." In Proceeding of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bangkok, Thailand, 16-19 Dec, 2018, IEEE, https://doi.org/10.1109/IEEM.2018.8607320
2. 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.", In Proceeding of the 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE), Hue, Vietnam, 18-20 Jul, 2018, IEEE, https://doi.org/10.1109/CCE.2018.8465718
3. P. H. Tran, K. P. Tran, T. H. Truong, C. Heuchenne, T. A. D. Nguyen, and C. N. Do, "A variable sampling interval EWMA distribution-free control chart for monitoring services quality.", In Proceedings of the 2018 International Conference on E-Business and Applications (ICEBA 2018), Da Nang, Vietnam, 23 – 25 Feb, 2018, https://doi.org/10.1145/3194188.3194191
4. 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.", In Proceedings of the 2018 International Conference on E-Business and Applications (ICEBA 2018), Da Nang, Vietnam, 23 – 25 Feb, 2018, https://doi.org/10.1145/3194188.3194196
5. K. P. Tran, P. Castagliola, T. H. Nguyen, and A. Cuzol, “The Efficiency of the VSI Exponentially Weighted Moving Average Median Control Chart”, In Proceedings of the 24th ISSAT International Conference on Reliability and Quality in Design, Toronto, ON, Canada, 2-4 Aug, 2018, ISBN: 978-0-9910576-5-8.

f. 2017

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," In Proceedings of the 2017 4th NAFOSTED Conference on Information and Computer Science, Hanoi, Vietnam, 24-25 Nov, 2017, doi: 10.1109/NAFOSTED.2017.8108030.
2. 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," In Proceedings of the 2017 International Conference on Advanced Technologies for Communications (ATC), Quy Nhon, Vietnam, 18-20 Oct, 2017, pp. 6-10, doi: 10.1109/ATC.2017.8167642.

3. Chapter

2023

1. H. D. Nguyen, and K. P. Tran (2023), "Artificial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges". In Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges, 5-33, Springer, https://doi.org/10.1007/978-3-031-30510-8_2
2. H. D. Nguyen, P. H. Tran, T. H. Do, and K. P. Tran, (2023), Quality Control for Smart Manufacturing in Industry 5.0. In Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges (pp. 35-64). Cham: Springer International Publishing, https://doi.org/10.1007/978-3-031-30510-8_3
3. P. H. Tran, H. D. Nguyen, C. Heuchenne, and K. P. Tran (2023), Monitoring Coefficient of Variation Using CUSUM Control Charts. In Springer Handbook of Engineering Statistics (pp. 333-360). London: Springer London, https://doi.org/10.1007/978-1-4471-7503-2_18
4. T. Nguyen, K. D. Tran, A. Raza, Q. T. Nguyen, H. M. Bui, and K. P. Tran (2023), Wearable Technology for Smart Manufacturing in Industry 5.0. In Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges (pp. 225-254). Cham: Springer International Publishing, https://doi.org/10.1007/978-3-031-30510-8_11
5. T. P. Bac, D. T. Ha, K. D. Tran, and K. P. Tran (2023), Explainable Articial Intelligence for Cybersecurity in Smart Manufacturing. In Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges (pp. 199-223). Cham: Springer International Publishing, https://doi.org/10.1007/978-3-031-30510-8_10
6. D. T. Ha, T. P. Bac, K. D. Tran, and 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 (pp. 145-166). Cham: Springer International Publishing, https://doi.org/10.1007/978-3-031-30510-8_8

2022

1. Q. T. Nguyen, T. N. Tran, C. Heuchenne, and K. P. Tran (2022), “Decision Support Systems for Anomaly Detection with the Applications in Smart Manufacturing: a survey and perspective”. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems, Taylor & Francis / CRC Press, https://doi.org/10.1201/9781003189886
2. T .T. V . Nguyen, C. Heuchenne, and K. P. Tran (2022), “Machine learning for compositional data analysis in Support of the Decision Making Process”. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems, Taylor & Francis / CRC Press, https://doi.org/10.1201/9781003189886
3. H. D. Nguyen, and K. P. Tran (2022), “Decision Support System using LSTM with Bayesian optimization for Predictive Maintenance: Remaining Useful Life Prediction”. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems, Taylor & Francis / CRC Press, https://doi.org/10.1201/9781003189886
4. T. H. Nguyen, H. D. Nguyen, D. D. K. Nguyen, K .D. Tran, and K. P. Tran  (2022), “Enabling Smart Supply Chain Management with Artificial Intelligence”. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems, Taylor & Francis / CRC Press, https://doi.org/10.1201/9781003189886
5. H. D. Nguyen, K. P. Tran, P. Castagliola, and F. M. Megahed, “Enabling Smart Manufacturing with Artificial Intelligence and Big Data: A Survey and Perspective”. In Advanced Manufacturing Methods - Smart Processes and Modeling for Optimization, Taylor & Francis / CRC Press, https://doi.org/10.1201/9780367822385

2021

1. P. H. Tran, A. A. Nadi, T. H. Nguyen, K. D. Tran, and K. P.  Tran (2021), “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 Nature Switzerland, accepted, https://doi.org/10.1007/978-3-030-83819-5_2
2. P. H. Tran, K. P. Tran, C. Heuchenne and H. D. Nguyen (2021), Monitoring Coefficient of Variation using CUSUM control charts. In the Handbook of Engineering Statistics, 2nd ed, Springer US, accepted.

2020

1. H. D. Nguyen, K. P. Tran, X. Zeng, L. Koehl, and G. Tartare. (2020). An Improved Ensemble Machine Learning Algorithm for Wearable Sensor Data Based Human Activity Recognition. In: Pham H. (eds) Reliability and Statistical Computing. Springer Series in Reliability Engineering, Springer, Cham. https://doi.org/10.1007/978-3-030-43412-0_13