KHOA CÔNG NGHỆ THÔNG TIN KINH DOANH

–—- CÔNG BỐ KHOA HỌC —–

———— 2023 ———— 

  1. Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh. Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. Soft Computing x, 2023 (In press, Scopus, Web of Science/SCIE, IF 3.732, Q2).

 Link: https://link.springer.com/article/10.1007/s00500-022-07771-9

  1. Fu B., Zhang X., Wang L., Ren Y., Dang N. H. Thanh. Double enhanced residual network for biological image denoising. Gene Expression Patterns 45, 2023 (Scopus, Web of Science/SCIE, IF 1.488, Q3).

Link: https://www.sciencedirect.com/science/article/abs/pii/S1567133X22000400?via%3Dihub

  1. Satti P., Shrotriya V., Garg B., Dang N. H. Thanh. Intensity bound limit filter for high density impulse noise removal. Journal of Ambient Intelligence and Humanized Computing, 2023 (Scopus, Web of Science/SCIE, IF 3.662, Q1)

Link: https://link.springer.com/article/10.1007/s12652-022-04328-4

  1. F Bo, Y Dong, S Fu, Y Wu, Y Ren, Dang N. H. Thanh. Multi-stage supervised contrastive learning for hybrid-degraded image restoration. Signal Image and Video Processing, 2022 (Scopus, Web of Science/SCIE, IF 2.157, Q2)

Link: https://link.springer.com/article/10.1007/s11760-022-02262-8

 

  1. Tuan-Vinh LA, Minh-Son DAO, Duy-Dong LE, Kim-Phung THAI, Quoc-Hung NGUYEN and Thuy-Kieu PHAN-Thi, (2022), “Leverage Boosting and Transformer on Text-Image Matching for Cheap Fakes Detection” Algorithms Journal, ISSN:1999-4893, Vol: 15(11), 423, DOI: https://doi.org/10.3390/a15110423, pp. 1-15, (Scopus – Q2)

Link: https://www.mdpi.com/1999-4893/15/11/423/htm

 

  1. Van Hai PHAM, Quoc Hung NGUYEN, Kim Phung THAI, Xuan Thao NGUYEN, Duy Dong LE, Thanh Trung LE, Thi Xuan Dao NGUYEN and Thi Thuy Kieu PHAN  (2023), “Proposed distance and entropy measures of picture fuzzy sets in decision support systems” Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6775-6791, ISSN:1875-8967, (ISI – Q4, IF:1.73)

Link: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs221556

  1. Van Hai PHAM, Quoc Hung NGUYEN, (2022), “Hybrid Deep Learning – Picture Fuzzy Set Model for Monitoring Human Behaviour in Forest Protection”  Ingeniería Solidaria Journal, eISSN: 2357-6014, Vol. 18 No. 2 (2022), https://doi.org/10.16925/2357-6014.2022.02.10, pp. 1-15 (ESCI)

Link: https://revistas.ucc.edu.co/index.php/in/article/view/4311

 

  1. TRUONG, Viet Phuong, Quoc Hung NGUYEN. (2023). Applied Decision Support System Using TOPSIS – AHP, and ICT Newhouse Indicators for Evaluation of Courses at University of Economics Ho Chi Minh City (UEH), Vietnam. In: García Márquez, F.P., Jamil, A., Eken, S., Hameed, A.A. (eds) Computational Intelligence, Data Analytics and Applications. Lecture Notes in Networks and Systems, vol 1, Issue: 643, pp 39–54, DOI: 10.1007/978-3-031-27099-4_4, Springer International Publishing

Link: https://link.springer.com/chapter/10.1007/978-3-031-27099-4_4

  1. Van Hai PHAM, Quoc Hung NGUYEN, Le Phuc Thinh TRAN (2023). Applied Picture Fuzzy sets with its Picture fuzzy Database for Identification of patients in a Hospital. In: Harish Garg, Jyotir Chatterjee (Editors), Book: Deep Learning in Personalized Healthcare and Decision Support, ISBN: 9780443194139, Elsevier International Publishing.

Link: https://www.elsevier.com/books/deep-learning-in-personalized-healthcare-and-decision-support/garg/978-0-443-19413-9

  1. Quoc Hung NGUYEN, Le Thanh TRUNG, Thi Thuy Kieu PHAN, Thi Xuan Dao NGUYEN, Xuan Nam VU, and Dinh Dien LA (2023), “The Proposed Deep learning combined with Knowledge graphs for Fake new Detections on Social Networks”, 6th International Conference on Innovative Computing and Mommunication (ICICC 2023) in Springer Lecture Notes on Networks & Systems indexed in SCOPUS and Web of Science [SCOPUS indexed].

Link: https://icicc-conf.com/publications

  1. Viet Phuong TRUONG, Quoc Hung NGUYEN (2023), “A Knowledge-based Consultant Student System using Reasoning Techniques for Selection of Courses in Smart University’“, 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022) in the Springer AISC series: “Algorithms for Intelligent Systems” indexed in SCOPUS and Web of Science [SCOPUS indexed]

Link: https://scril.sau.int/ijcaci22/page/programschedule

  1. Xuan Thao NGUYEN, Quoc Hung NGUYEN, Duy Dong LE, Hai Van PHAM, (2023), “Combination of Hamming distance and Entropy measure of Picture Fuzzy Sets: Case study of COVID-19 medicine selection”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications in the Springer AISC series indexed in SCOPUS and Web of Science [SCOPUS indexed]. Mizoram, India. [Best paper] – [CONTRIBUTION CERTIFICATE]

Link: https://ficta.org/program

 

———— 2022 ————

 

  1. N. Hien, D. N. H. Thanh, U. Erkan and J. M. R. S. Tavares. Image Noise Removal Method Based on Thresholding and Regularization Techniques. IEEE Access 10, 2022. (Scopus, Web of Science/SCIE, IF 3.476, Q1)

Link: https://ieeexplore.ieee.org/document/9815073

  1. Kim Phung THAI, Quoc Hung NGUYEN, (2022), “How green hotel practices stimulates customer citizenship behavior? Examining the role of green hotel image and customer satisfaction in Vietnam” Geojournal of Tourism and Geosites, ISSN: 2065-1198, vol: 40, DOI 10.30892/gtg.40133-829, pp: 274-282, (Scopus Q2)

Link: http://gtg.webhost.uoradea.ro/PDF/GTG-1-2022/gtg.40133-829.pdf

  1. F Bo, Y Dong, S Fu, Y Wu, Y Ren, Dang N. H. Thanh. A Self-Attention based Wasserstein Generative Adversarial Networks for Single Image Inpainting. Signal Image and Video Processing, 2022 (Scopus, Web of Science/SCIE, IF 2.157, Q2).

Link: https://link.springer.com/article/10.1007/s11760-022-02262-8

  1. Fu, B., Dong, Y., Fu, S., Wu, Y., Ren, Y., & Thanh, D. N. (2022). Multistage supervised contrastive learning for hybrid-degraded image restoration. Signal, Image and Video Processing, 1-9.

Link: https://link.springer.com/article/10.1007/s11760-022-02262-8

  1. Garg, H., Thanh, D. N. H., & Rizk-Allah, R. M. (2022). VIKOR approach for bi-level multi-criteria nonlinear fractional programming problems: new insights. Kybernetes, (ahead-of-print).

Link: https://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0158/full/html

  1. G Harish, Dang N. H. Thanh, RMA Rikz. VIKOR Approach for Bi-Level Multi-criteria Nonlinear Fractional Programming Problems: New insights. Kybernetes, 2022 (In press, Web of Science/SCIE, Scopus, IF 1.754, Q2).

Link: https://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0158/full/pdf?title=vikor-approach-for-bi-level-multi-criteria-nonlinear-fractional-programming-problems-new-insights

  1. Subrato Bharati, Prajoy Podder, Dang N. H. Thanh, Surya Prasath. Dementia Classification Using MR Imaging and Clinical Data with Voting based Machine Learning Models. Multimedia Tools and Applications. 2022. doi:10.1007/s11042-022-12754-x. (Scopus, Web of Science/SCIE, IF 2.757, Q1).

 Link: https://link.springer.com/article/10.1007/s11042-022-12754-x

  1. Van Hai PHAM, Quoc Hung NGUYEN, Thanh Trung LE, Thi Xuan Dao NGUYEN, Thi Thuy Kieu PHAN (2022), “A Proposal Model using Deep Learning Model integrated with Knowledge Graph for Monitoring Human behavior in Forest Protection”, DOI: http://doi.org/10.12928/telkomnika.v20i6.24087, TELKOMNIKA Telecommunication, Computing, Electronics and Control Journal, ISSN: 1693-6930, e- ISSN: 2302-9293, (Scopus Q2)

Link: http://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/24087

  1. Fu Bo, Zhang Xiangyi, Wang Liyan, Ren Yonggong, Dang N. H. Thanh. A Blind Medical Image Denoising Method with Noise Generation Network. Journal of X-Ray Science and Technology 30(3): 531-547, 2022. doi:10.3233/XST-211098. (Scopus, Web of Science/SCIE, IF 1.535, Q2).

Link: https://content.iospress.com/articles/journal-of-x-ray-science-and-technology/xst211098

  1. U Erkan, A Toktas, S Enginoğlu, E Karabacak, Dang N. H. Thanh. An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN. Multimedia Tools and Applications. 2022. doi:10.1007/s11042-021-11803-1. (Scopus, Web of Science/SCIE, IF 2.757, Q1).

Link: https://link.springer.com/article/10.1007/s11042-021-11803-1

  1. Truong Thanh Tai, Dang N. H. Thanh, Nguyen Quoc Hung. A Dish Recognition Framework Using Transfer Learning. IEEE Access 10, 2022. (Scopus, Web of Science/SCIE, IF 3.367, Q1).

Link: https://ieeexplore.ieee.org/document/9681805

  1. Hai Van Pham, Quoc Hung NGUYEN, Viet Phuong TRUONG, Le Phuc Thinh TRAN, (2022), “The proposed Context Matching Algorithm and its application for User Preferences of Tourism in COVID-19 Pandemic”, DOI: 10.1007/978-981-19-2535-1_22, Volume: 1, pp 285–293. In book series: International Conference on Innovative Computing and Communications, Springer, 2022 ]. [Book Chapters]

Link:  https://link.springer.com/chapter/10.1007/978-981-19-2535-1_22

  1. Bhandari, A., Kumar, V., Thien Huong, P., Dang N. H. Thanh. Sentiment Analysis of COVID-19 Tweets: Leveraging Stacked Word Embedding Representation for Identifying Distinct Classes Within a Sentiment. In book series: Lecture Notes on Data Engineering and Communications Technologies, Springer, 2022 (Web of Science, Scopus, Q3). [Book Chapters]

Link:  https://link.springer.com/chapter/10.1007/978-3-030-97610-1_27

  1. Van Hai PHAM, Quoc Hung NGUYEN, (2022). Chapter Title: “The Clustering Approach Using SOM and Picture Fuzzy Sets for Tracking Influenced COVID-19 Persons”, Book Title: “Artificial Intelligence in Data and Big Data Processing”, DOI: 10.1007/978-3-030-97610-1, Volume: 124, pp 531–541, Springer International Publishing [Book Chapters]

Link: https://link.springer.com/chapter/10.1007/978-3-030-97610-1_42

  1. A. H. Tran and Kim Phung THAI, “Rider Churn Prediction Model for Ride-Hailing Service: A Machine Learning Approach,” in International Conference on “Artificial Intelligence and Big Data in Digital Era” (ICABDE), Ho Chi Minh City, Vietnam, 2022, pp. 301-314: Springer International Publishing. [Book Chapters]

Link: https://link.springer.com/chapter/10.1007/978-3-030-97610-1_24

———— 2021 ————

 

  1. Bui, TH. Discovering shopping visitors’ behavior and preferences using geo-tagged social photos: a case study of Los Angeles City. J Market Anal 9, 127–143 (2021). https://doi.org/10.1057/s41270-021-00107-w (ISI)

Link: https://link.springer.com/chapter/10.1007/978-3-030-97610-1_24

  1. Thanh, D. N., Hai, N. H., Tiwari, P., & Prasath, V. S. (2021). Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation. Компьютерная оптика, 45(1). (ISI)

Link: https://cyberleninka.ru/article/n/skin-lesion-segmentation-method-for-dermoscopic-images-with-convolutional-neural-networks-and-semantic-segmentation

  1. Khamparia, A., Bharati, S., Podder, P., Gupta, D., Khanna, A., Phung, T. K., & Thanh, D. N. (2021). Diagnosis of breast cancer based on modern mammography using hybrid transfer learning. Multidimensional Systems and Signal Processing, 32(2), 747-765.

Link: https://link.springer.com/article/10.1007/s11045-020-00756-7

  1. Hieu, L. M., Hien, N. N., Thanh, N. H., & Van, L. T. H. (2021). Method of moments with a choice of special basic functions for fourth-order partial differential equations. In Journal of Physics: Conference Series (Vol. 1803, No. 1, p. 012001). IOP Publishing. (ISI)

Link: https://iopscience.iop.org/article/10.1088/1742-6596/1803/1/012001/meta

  1. Thanh, D. N., Prasath, V. S., Phung, T. K., & Hung, N. Q. (2021). Impulse denoising based on noise accumulation and harmonic analysis techniques. Optik, 241, 166163. (ISI)

Link: https://www.sciencedirect.com/science/article/abs/pii/S0030402620319690

  1. Prasath, V. S., & Thanh, D. N. (2021). Compression artifacts reduction with multiscale tensor regularization. Multidimensional Systems and Signal Processing, 32(2), 521-531. (ISI)

Link: https://link.springer.com/article/10.1007/s11045-020-00747-8

  1. Thanh, D. N. H., Prasath, V. S., & Dvoenko, S. (2021). An adaptive image inpainting method based on euler’s elastica with adaptive parameters estimation and the discrete gradient method. Signal Processing, 178, 107797. (ISI)

Link: https://www.sciencedirect.com/science/article/abs/pii/S0165168420303418

  1. Madhavan, M. V., Thanh, Thanh, D. N. H., Khamparia, A., Pande, S., Malik, R., & Gupta, D. Recognition and Classification of Pomegranate Leaves Diseases by Image Processing and Machine Learning Techniques. (ISI)

Link: https://techscience.com/cmc/v66n3/41042/html

  1. Prasath, V. S., Hien, N. N., Thanh, D. N., & Dvoenko, S. (2021). SIMRES-TV: NOISE AND RESIDUAL SIMILARITY FOR PARAMETER ESTIMATION IN TOTAL VARIATION. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 44, 2 [Book Chapter]

Link:  https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-2-W1-2021/171/2021/

 

  1. Prasath, Surya & Thanh, D. N. H., & Hai, Nguyen & Dvoenko, S.. (2021). Multiregion Multiscale Image Segmentation with Anisotropic Diffusion. 10.1007/978-3-030-68821-9_13. [Book Chapter]

Link:  https://link.springer.com/chapter/10.1007/978-3-030-68821-9_13

  1. T. Thanh, D. N. H. Thanh, N. N. Hien, U. Erkan and V. B. S. Prasath, “Single Image Dehazing with Optimal Color Channels and Nonlinear Transformation,” 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE), 2021, pp. 421-426, doi: 10.1109/ICCE48956.2021.9352087.

Link:  https://ieeexplore.ieee.org/document/9352087

  1. Hung, N. Q., Phung, T. K., Hien, P., & Thanh, D. N. H. (2021). AI and Blockchain: potential and challenge for building a smart E-Learning system in Vietnam. In IOP Conference Series: Materials Science and Engineering (Vol. 1022, No. 1, p. 012001). IOP Publishing.

Link:  https://iopscience.iop.org/article/10.1088/1757-899X/1022/1/012001/meta

  1. Thanh, D. N. H., Hue, N. M., Linh, H. N. T., & Prasath, V. S. (2021). On Numerical Implementation of the Laplace Equation-Based Image Inpainting. In IOP Conference Series: Materials Science and Engineering (Vol. 1022, No. 1, p. 012034). IOP Publishing.

Link:  https://iopscience.iop.org/article/10.1088/1757-899X/1022/1/012034

  1. Quoc Hung NGUYEN, Thanh LE, Ha Quang Dinh VO and Viet Phuong TRUONG, (2021). Chapter Title: “Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City”, Book Title: “International Conference on Innovative Computing and Communications”, Vol: 1, ISSN: 2194-5357, Num: XXI, 887, pp. 1 – 9, DOI: 10.1007/978-981-16-2594-7 (eBook ISBN: 978-981-16-2594-7), Springer International Publishing [Book Chapter]

Link:  https://link.springer.com/chapter/10.1007/978-981-16-2594-7_1

  1. Phung, T. K., Te, N. A., & Ha, T. T. T. (2021). A machine learning approach for opinion mining online customer reviews. In 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) (pp. 243-246).

Link:  https://ieeexplore.ieee.org/document/9403513

  1. Phung, T. K. (2021). Assessing the readiness for implementing Business Intelligence system in Vietnam. In 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) (pp. 247-250)

Link:  https://ieeexplore.ieee.org/document/9403499

  1. Hai Van Pham, Quoc Hung NGUYEN, (2021). Chapter Title: “Intelligent IoT Monitoring System Using Rule-Based for Decision Supports in Fired Forest Images”, Book Title: “Industrial Networks and Intelligent Systems”, Vol: 379, ISSN: 1867-8211, Num: XII, 514, pp. 367 – 378, DOI 10.1007/978-3-030-77424-0_30 (eBook ISBN: 978-3-030-77423-3), Springer

Link: https://link.springer.com/chapter/10.1007/978-3-030-77424-0_30

  1. Manh Tuan NGUYEN, Quoc Hung NGUYEN, Thi Hang NGUYEN, (2021), “Digital Transformation in the Business: A Solution for Developing Cash Accounting Information Systems and Digitizing Documents”, Publication in Science and Technology Development Journal (Viet Nam National University Ho Chi Minh City, Viet Nam); DOI: https://doi.org/10.32508/stdj.v24i2.2526.; issue 2, vol 24, pp: 1962-1974.

Link: http://stdj.scienceandtechnology.com.vn/index.php/stdj/article/view/2526

  1. Nguyễn Mạnh Tuấn & Trương Văn Tú & Lê Ngọc Thạnh. (2021), “Xây dựng mô hình hệ thống hỗ trợ quản trị Chuyển Đổi Số cho doanh nghiệp vừa và nhỏ tại Việt Nam” (2021), Publication Special Issue SE05 in Journal of Asian Business and Economic Studies (JABES); Issue 32, Vol 7

Link: http://stdj.scienceandtechnology.com.vn/index.php/stdj/article/view/2526

  1. Manh Tuan, T. Viet Phuong, T. -H. Do and N. Tan Vu Khanh, “A highly realistic optical camera communication simulation framework for Internet of Things applications,” 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), 2021, pp. 240-242, DOI: 10.1109/SNPDWinter52325.2021.00058.

Link: https://ieeexplore.ieee.org/document/9403480

  1. Trương Việt Phương, Nguyễn Quốc Hùng, Lê Ngọc Thạnh và Võ Hà Quang Định, (2020), “Nghiên cứu xây dựng hệ thống tính toán hiệu năng cao phục vụ triển khai các bài toán trong Ðại học thông minh”, Publication Special Issue SE05 in Journal of Asian Business and Economic Studies (JABES); Issue 11, Vol 3

Link: http://jabes.ueh.edu.vn/Home/SearchArticle?article_Id=18f27b58-1046-49bf-9b71-2857625be42b

  1. Trương Việt Phương & Trần Thị Thu Hà & Nguyễn Tiến Đạt, (2021), “Nghiên cứu xây dựng hệ thống tính toán hiệu năng cao phục vụ triển khai các bài toán trong Ðại học thông minh”, Publication Special Issue SE05 in Journal of Asian Business and Economic Studies (JABES); Issue 32, Vol 7

Link: http://jabes.ueh.edu.vn/Home/SearchArticle?article_id=96580b2e-3fd3-4d68-a253-2fdbc3e33bb5

  1. Bùi Xuân Huy, Nguyễn An Tế, Trần Thị Song Minh, (2020), “Mô hình tư vấn học tập trong đào tạo trực tuyến dựa trên cộng đồng người học đa tiêu chí”, Publication Special Issue SE05 in Journal of Asian Business and Economic Studies (JABES); Issue 11, Vol 3

Link: http://jabes.ueh.edu.vn/Home/SearchArticle?article_id=d812ba88-8210-4494-b005-0d4a19088256

  1. Bùi Xuân Huy, Nguyễn An Tế, Trần Thị Song Minh, (2021), “Phát triển mô hình tư vấn học tập trong đào tạo trực tuyến dựa trên cộng đồng người học đa tiêu chí”, Publication Special Issue SE05 in Journal of Asian Business and Economic Studies (JABES); Issue 11, Vol 3

Link: http://jabes.ueh.edu.vn/Home/SearchArticle?article_id=d812ba88-8210-4494-b005-0d4a19088256

  1. Phan Hien, “Applying Hesitant Fuzzy Set To Rank Student’s Projects,” 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), 2021, pp. 251-252, DOI: 10.1109/SNPDWinter52325.2021.00061.

Link: https://ieeexplore.ieee.org/document/9403507

  1. Do, N. -L. Nguyen, H. -T. Vo, T. -B. Nguyen and N. Tan Vu Khanh, “Deep learning-based image processing for proactive data collecting system for autonomous vehicle,” 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), 2021, pp. 253-256, DOI: 10.1109/SNPDWinter52325.2021.00062.

Link: https://ieeexplore.ieee.org/document/9403490

———–2020————

  1. Thái Kim Phụng, Nguyễn An Tế & Trần Thị Thu Hà (2020). “Xếp hạng dịch vụ khách sạn dựa trên phương pháp khai thác ý kiến khách hàng trực tuyến”. Tạp chí Kinh tế và Phát triển – Trường Đại học Kinh tế Quốc dân.
  2. Ngoc Hoang Thanh DANG, Quoc Hung NGUYEN, Hoang Hai NGUYEN. (2020). Object Oriented Programming in C++, Vietnam National University Press Hanoi, ISBN 978-604-9936-80-7, 221 pages (Text book in Vietnamese). [Book]
  3. Subrato Bharati, Tanvir Zaman Khan, Prajoy Podder, Quoc Hung NGUYEN. (2020). Chapter Title: “A Comparative Analysis of Image Denoising Problem: Noise Models, Denoising Filters and Applications”, Book Title: “Cognitive Internet of Medical Things for Smart Healthcare”, Vol: 311, ISSN: 2198-4182, Num: 1, pp. 49-66, DOI 10.1007/978-3-030-55833-8_3 (eBook ISBN: 978-3-030-55833-8), Springer International Publishing. [Book Chapter]
  4. Sagar Pande, Aditya Khamparia, Deepak Gupta, Ngoc Hoang Thanh DANG. (2020), “DDOS Attack Detection using Machine Learning Technique”. In book: Recent Studies on Computational Intelligence (Book series: Studies in Computational Intelligence), Springer International Publishing, [Book Chapter]
  5. B. Surya Prasath, Ngoc Hoang Thanh DANG, Quoc Hung NGUYEN, Le Minh Hieu. (2020), “Multiscale Gradient Maps Augmented Fisher Information-Based Image Edge Detection”, in IEEE Access, vol. 8, pp. 141104-141110, DOI: 10.1109/ACCESS.2020.3013888 (ISI).
  6. Le Minh Hieu, Truong Thi Hieu Hanh; Ngoc Hoang Thanh DANG, (2020) “Monotone Finite-Difference Schemes With Second Order Approximation Based on Regularization Approach for the Dirichlet Boundary Problem of the Gamma Equation,” in IEEE Access, vol. 8, pp. 45119-45132, DOI: 10.1109/ACCESS.2020.2978594 (ISI).
  7. Ngoc Hoang Thanh DANG, Le Thi Thanh, Nguyen Ngoc Hien, Surya Prasath, “Adaptive total variation L1 regularization for salt and pepper image denoising.” Optik 208 (2020), ISSN 0030-4026, DOI: https://doi.org/10.1016/j.ijleo.2019.163677 (ISI).
  8. Chinthaka Premachandra, Ngoc Hoang Thanh DANG, Tomotaka Kimura, Hiroharu Kawanaka, “A study on hovering control of small aerial robot by sensing existing floor features,” (2020), in IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 4, pp. 1016-1025, July 2020, doi: 10.1109/JAS.2020.1003240. (ISI).
  9. Le Minh Hieu, Truong Thi Hieu Hanh, Ngoc Hoang Thanh DANG. (2020). “A finite-difference scheme for initial boundary value problem of the Gamma equation in the pricing of financial derivatives”. Journal of Mathematics and Computer Science, Vol 20, Issue 4. Pages: 283-291. (ISI).
  10. Surya Prasath, Ngoc Hoang Thanh DANG, Le Thi Thanh, Nguyen Quang San, Sergey Dvoenko. (2020), “Human Visual System Consistent Model for Wireless Capsule Endoscopy Image Enhancement and Applications”, Pattern Recognition and Image Analysis 30(3): 280–287 (ISI).
  11. Ngoc Hoang Thanh DANG, Nguyen Hoang Hai, V. B. Surya Prasath, Le Minh Hieu & João Manuel R. S. Tavares. (2020) . “A two-stage filter for high density salt and pepper denoising”. Multimedia Tools and Applications 79, 21013–21035. https://doi.org/10.1007/s11042-020-08887-6. (ISI).
  12. Madhavan M.V., Ngoc Hoang Thanh DANG, Khamparia A., Pande S., Malik R. and Gupta D. (2020). “Recognition and classification of pomegranate leaves diseases by image processing and machine learning techniques”. Computers, Materials and Continua. 66., 2020 (ISI).
  13. Ngoc Hoang Thanh DANG, Surya Prasath, Sergey Dvoenko and Le Minh Hieu, (2021). “An Adaptive Image Inpainting Method Based on Euler’s Elastica with Adaptive Parameters Estimation and the Discrete Gradient Method”. Signal Processing 178: 107797, (ISI), [Accepted].
  14. B. S. Prasath, Ngoc Hoang Thanh DANG, Le Minh Hieu, and Le Thi Thanh. (2021). “Compression artifacts reduction with multiscale tensor regularization”. Multidimensional Systems & Signal Processing, (ISI). [Accepted].

———–2019———–

  • Thai Kim Phung, Nguyen An Te & Tran Thị Thu Ha (2019). A Review Of Opinion Mining Applications For Tourism Industry. The 4th international conference on Tourism in Vietnam: Smarter Tourism.
  • Thái Kim Phụng, Nguyễn An Tế & Trần Thị Thu Hà (2019). Tiếp cận phương pháp máy học trong khai thác ý kiến khách hàng trực tuyến. Tạp chí Nghiên cứu Kinh tế và Kinh doanh Châu Á (JABES) – Trường Đại học Kinh tế TP.HCM.
  • Thái Kim Phụng, Đoàn Phú Hải (2019). Đánh giá sự sẵn sàng triển khai hệ thống BI của các doanh nghiệp trong môi trường ERP. Tạp chí Phát triển Khoa học & Công nghệ (ĐH Quốc gia TP. HCM).
  • Thái Kim Phụng (2019). Thành tựu của trí tuệ nhân tạo – Cơ hội cho việc cải tiến và phát triển chương trình đào tạo khối ngành kinh tế. Kỷ yếu tọa đàm khoa học “Tăng cường đổi mới dạy và học trong bối cảnh công nghệ số tại Trường Đại học Kinh tế TP.HCM”
  • Thái Kim Phụng, Dương Thị Bảo Trân (2019). Nâng cao năng lực cạnh tranh của thanh long Việt Nam thông qua truy xuất nguồn gốc bằng công nghệ Blockchain. Kỷ yếu hội thảo khoa học “Công nghệ thông tin trong kinh doanh và quản lý”.
  • Thái Kim Phụng, Nguyễn An Tế (2019). Mô hình hệ thống hỗ trợ đánh giá chất lượng dịch vụ du lịch dựa trên phương pháp khai thác ý kiến. Kỷ yếu hội thảo khoa học “Công nghệ thông tin trong kinh doanh và quản lý”.

————2018————

  • Thái Kim Phụng (2018). Ảnh hưởng của chất lượng hệ thống E-Learning đến kiến thức nhận được của sinh viên: Một nghiên cứu tại Trường Đại học Kinh tế TP.HCM. Tạp chí Phát triển & Hội nhập – Trường Đại học Kinh tế Tài chính (UEF).
  • Thái Kim Phụng, Đoàn Phú Hải (2018). Đánh giá sự sẵn sàng triển khai hệ thống BI của các doanh nghiệp trong môi trường ERP. Kỷ yếu Hội thảo Hệ thống thông tin trong kinh doanh và quản lý ISBM18.

————–2017————–

  • Thái Kim Phụng, Phan Hiền (2017). Hệ tư vấn thông tin theo ngữ cảnh – một xu hướng mới trong lĩnh vực du lịch, Kỷ yếu Hội thảo Viện Du Lịch 2017, Nhà xuất bản UEH, pp.155-163.
  • Linh Vu, Thanh Le (2017). A novel method for sentiment analysis using social network data. In Proceeding of the 1st Tourism Conference at UEH, UEH Publishing House, pp.99-112.
  • Trung Nguyen, Ha Pham, Thanh Le (2017). Survey questionnaire design using fuzzy expert systems, In Proceeding of the 1st Tourism Conference at UEH, UEH Publishing House, pp.164-175.
  • Duc Dau, Thanh Le (2017). A machine learning method for social network discussion topic classification, In Proceeding of the 1st Tourism Conference at UEH, UEH Publishing House, pp.175-187.

—————2016————

  • Thái Kim Phụng, Trần Lê Phúc Thịnh, Bùi Xuân Huy, Nguyễn Mạnh Tuấn (2016). Phân tích các yếu tố tác động đến mức sẵn sàng chi trả trong đấu giá trực tuyến. Tạp chí Kinh tế và Phát triển – Đại học Kinh tế Quốc dân.
  • Thái Kim Phụng, Trần Lê Phúc Thịnh, Bùi Xuân Huy, Nguyễn Mạnh Tuấn (2016). Đánh giá sự hài lòng của sinh viên đối với chất lượng hệ thống E-learning. Tạp chí Kinh tế và Phát triển – Đại học Kinh tế Quốc dân.
  • Thái Kim Phụng, Trương Việt Phương (2016). Ảnh hưởng của chất lượng thông tin đến kiến thức thu nhận của sinh viên qua hệ thống E-learning: Một nghiên cứu tại các trường Đại học ở TP.HCM. Tạp chí Khoa học – Đại học Mở TP.HCM.
  • Thái Kim Phụng (2016). Kiểm định mối quan hệ giữa hành vi đấu giá và sự sẵn sàng chi trả trong đấu giá xu trực tuyến. Kỷ yếu Hội thảo hệ thống thông tin trong kinh doanh và quản lý ISBM16.
  • Thái Kim Phụng, Phan Hiền (2016). Tiếp cận mô hình ANFIS trong dự báo tài chính. Kỷ yếu Hội thảo hệ thống thông tin trong kinh doanh và quản lý ISBM16.
  • Nguyễn Mạnh Tuấn, Lê Thị Quỳnh Nga, Thái Kim Phụng (2016). Chấm điểm trên bản chụp: xu hướng quản lý chấm điểm mới. Kỷ yếu Hội thảo hệ thống thông tin trong kinh doanh và quản lý ISBM16.