Research

PUBLICATIONS

-------------------------------------------------------------------------------------------2024-----------------------------------------------------------------------------------------------

[46].  Quach, Luyl-Da, et al. "Tomato health monitoring system: Tomato classification, detection, and counting system based on YOLOv8 model with explainable MobileNet models using grad-CAM++." IEEE Access 12 (2024): 9719-9737. (Q1 ISI, Scopus)

[47].  Quach, Luyl-Da, Quoc Khang Nguyen, and Quynh Anh Nguyen. "Rice pest dataset supports the construction of smart farming systems." Data in Brief 52 (2024): 110046. (Q2 ISI, Scopus)

[48] Ngoc, Hoang Tran, Phuc Phan Hong, Anh Nguyen Quoc, and Luyl-Da Quach. "Steering Angle Prediction for Autonomous Vehicles Using Deep Transfer Learning." Journal of Advances in Information Technology 15, no. 1 (2024): 138-146.

[49] Nguyen, Khang Quoc, Huy Cao Gia Nguyen, Trinh Ngo Diem Le, Viet Binh Quoc Thai, Binh Phong Tran, Lan Thi Thu Le, and Luyl-Da Quach. "Tiny-CNN: Structuring Convolutional Neural Networks for Accurate Classification of Rice Leaf Diseases in Resource-Constrained Environments." In Proceedings of the 2024 9th International Conference on Intelligent Information Technology, pp. 171-178. 2024. (Scopus, ISI)

[50] Quach, Luyl-Da, Khang Nguyen Quoc, Chi-Ngon Nguyen, and Nguyen Thai-Nghe. "Explainable AI for Plant Disease Detection: Assessing Explainability in Classifying Maize Leaves Diseases with Focus Score and Ablation-CAM." In International Conference on Intelligent Systems and Data Science, pp. 19-32. Singapore: Springer Nature Singapore, 2024. (Q4 ISI, Scopus)

[51] Nguyen, Anh Quynh, My Tu Tran, Quang Nhat Nguyen, Huy Khai Huynh, Lan Thi Thu Le, and Luyl-Da Quach. "Classification of Rice Plant Disease Based on Descriptive Information with DistilBERT's Architecture." In Proceedings of the 2024 9th International Conference on Intelligent Information Technology, pp. 155-163. 2024.(Scopus, ISI)

[52] Le, Trong Duc, Khang Thanh Tran, Duyen Phuoc Nguyen, Khanh Van Quach, Lan Thi Thu Le, and Luyl-Da Quach. "Augmented Reality System in Furniture Sales Management Simulation in Vietnam." In Proceedings of the 2024 9th International Conference on Intelligent Information Technology, pp. 460-466. 2024.(Scopus, ISI)

[53] Le, Hung Hoang, Tin Trung Truong, Hieu Hoang Truong, Kha Minh Tran, Khang Tong Vinh Luong, Lan Thi Thu Le, and Luyl-Da Quach. "Initial Approach to the Identification Degree of Skin Damage and Classification of Acne by YOLOv8." In Proceedings of the 2024 9th International Conference on Intelligent Information Technology, pp. 19-25. 2024.(Scopus, ISI)

-------------------------------------------------------------------------------------------2023-----------------------------------------------------------------------------------------------

[22] Quach, Luyl-Da, Phuc Nguyen Trong, Khang Nguyen Hoang, and Ngon Nguyen Chi. "Combining Contrast Limited Adaptive Histogram Equalization and Canny’s Algorithm for the Problem of Counting Seeds on Rice." In Information Systems for Intelligent Systems: Proceedings of ISBM 2022, pp. 567-577. Singapore: Springer Nature Singapore, 2023.

[23] Quach, Luyl-Da, Anh Nguyen Quynh, Khang Nguyen Quoc, and Nghe Nguyen Thai. "Using Optimization Algorithm to Improve the Accuracy of the CNN Model on the Rice Leaf Disease Dataset." In Information Systems for Intelligent Systems: Proceedings of ISBM 2022, pp. 535-544. Singapore: Springer Nature Singapore, 2023. (Scopus)

[24] Quach, Luyl-Da, Anh Nguyen Quynh, Nguyen Quoc Khang, and An Nguyen Thi Thu. "Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text." International Journal of Advanced Computer Science and Applications 14, no. 5 (2023). (Q3 ISI/Scopus)

[25] Vo, Hoang-Tu, Luyl-Da Quach, and Tran Ngoc Hoang. "Ensemble of Deep Learning Models for Multi-plant Disease Classification in Smart Farming." International Journal of Advanced Computer Science and Applications 14, no. 5 (2023). (Q3 ISI/Scopus)

[26] Vo, Hoang-Tu, Tran Ngoc Hoang, and Luyl-Da Quach. "An Approach to Hyperparameter Tuning in Transfer Learning for Driver Drowsiness Detection Based on Bayesian Optimization and Random Search." International Journal of Advanced Computer Science and Applications 14, no. 4 (2023). (Q3 ISI/Scopus)

[27] Anh Quynh Nguyen, Khang Quoc Nguyen, Hoang Ngoc Tran, and Luyl-Da Quach. 2023. Using Optimization Algorithms to Improve The Classification Of Diseases On Rice Leaf Of EfficientNet-B4 Model. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 209–215. https://doi.org/10.1145/3591569.3591606 (Scopus)

[28] Thuan Van Tran, Luyl-Da Quach, Hoang Ngoc Tran, and Viet Hoang Tran. 2023. Evaluation of Chalkiness Based on Image Processing Approach: A Case Study in Vietnam. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 223–228. https://doi.org/10.1145/3591569.3591608 (Scopus)

[29] Luyl-Da Quach, Tien Quang Huynh, Uy Hoang Anh Cao, Khoi Minh Nguyen, Khoa Dang Nguyen, Tu Xuan Le, and Phuoc_Hai Huynh. 2023. First approach to Digitalize Academic Records in Viet Nam using Blockchain Technology: Provide concepts to apply Blockchain to decentralized academic record management in Viet Nam. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 86–91. https://doi.org/10.1145/3591569.3591583 (Scopus)

[30] Huy Khanh Hua, Khang Hoang Nguyen, Luyl-Da Quach, and Hoang Ngoc Tran. 2023. Traffic Lights Detection and Recognition Method using Deep Learning with Improved YOLOv5 for Autonomous Vehicle in ROS2. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 117–122. https://doi.org/10.1145/3591569.3591589 (Scopus)

[31] Khang Hoang Nguyen, Huynh Vu Nhu Nguyen, Hoang Ngoc Tran, and Luyl-Da Quach. 2023. Combining Autoencoder and Yolov6 Model for Classification and Disease Detection in Chickens. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 132–138. https://doi.org/10.1145/3591569.3591591 (Scopus)

[32] Khang Quoc Nguyen, Anh Quynh Nguyen, Hoang Ngoc Tran, and Luyl-Da Quach. 2023. Classifying Rice Bacterial Panicle Blight by Combining YOLOv5 Model and Convolutional Neural Network. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 172–176. https://doi.org/10.1145/3591569.3591600 (Scopus)

[33] Phuoc-Hai Huynh, Luyl-Da Quach, Lan Thi Thu Le, and Thanh-Nghi Doan. 2023. Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 199–202. https://doi.org/10.1145/3591569.3591604 (Scopus)

[34] Anh Quynh Nguyen, Khang Quoc Nguyen, Hoang Ngoc Tran, and Luyl-Da Quach. 2023. Using Optimization Algorithms to Improve The Classification Of Diseases On Rice Leaf Of EfficientNet-B4 Model. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 209–215. https://doi.org/10.1145/3591569.3591606 (Scopus)

[35] Thuan Van Tran, Luyl-Da Quach, Hoang Ngoc Tran, and Viet Hoang Tran. 2023. Evaluation of Chalkiness Based on Image Processing Approach: A Case Study in Vietnam. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 223–228. https://doi.org/10.1145/3591569.3591608 (Scopus)

[36] Phuc Hong Phan, Anh Quoc Nguyen, Luyl-Da Quach, and Hoang Ngoc Tran. 2023. Robust Autonomous Driving Control using Auto-Encoder and End-to-End Deep Learning under Rainy Conditions. In Proceedings of the 2023 8th International Conference on Intelligent Information Technology (ICIIT '23). Association for Computing Machinery, New York, NY, USA, 271–278. https://doi.org/10.1145/3591569.3591616 (Scopus)

[37] Nguyen, Duyen Mai Thi, Narayan C. Debnath, Luyl-Da Quach, and Vinh Dinh Nguyen. "Machine Learning Algorithms for Gold Price Prediction." In International Conference on Advanced Intelligent Systems and Informatics, pp. 212-220. Cham: Springer Nature Switzerland, 2023.

[38] Quach, Luyl-Da, Quoc, K. N., Quynh, A. N., & Ngoc, H. T. (2023). Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects. In Journal of Advances in Information Technology (Vol. 14, Issue 5, pp. 907–917). Engineering and Technology Publishing. https://doi.org/10.12720/jait.14.5.907-917

[39] Hoang, Tran Ngoc, Phuc Phan Hong, Nghi Nguyen Vinh, Nguyen Trung Nguyen, Khang Hoang Nguyen, and Luyl-Da Quach. "An Improved Lane-Keeping Controller for Autonomous Vehicles Leveraging an Integrated CNN-LSTM Approach." International Journal of Advanced Computer Science and Applications 14, no. 7 (2023).

[40] Hoang, Tran Ngoc, Huynh Vu Nhu Nguyen, Khang Hoang Nguyen, and Luyl-Da Quach. "Lane Road Segmentation Based on Improved UNet Architecture for Autonomous Driving." International Journal of Advanced Computer Science and Applications 14, no. 7 (2023).

[41] Hoang, Tran Ngoc, Khang Hoang Nguyen, Huy Khanh Hua, Huynh Vu Nhu Nguyen, and Luyl-Da Quach. "Optimizing YOLO Performance for Traffic Light Detection and End-to-End Steering Control for Autonomous Vehicles in Gazebo-ROS2." International Journal of Advanced Computer Science and Applications 14, no. 7 (2023).

[42] Vo, Hoang-Tu, and Luyl-Da Quach. "Advanced Night time Object Detection in Driver-Assistance Systems using Thermal Vision and YOLOv5." International Journal of Advanced Computer Science and Applications 14, no. 6 (2023).

[43] Luyl-Da Quach K. N. Quoc, A. N. Quynh, N. Thai-Nghe and T. G. Nguyen, "Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture," in IEEE Access, vol. 11, pp. 83752-83762, 2023, doi: 10.1109/ACCESS.2023.3296792.

[44] Le, Duc Hoa, Debarshi Mazumder, Luyl-Da Quach, Shreya Banerjee, and Vinh Dinh Nguyen. "Robust Vietnam’s Motorcycle License Plate Detection and Recognition Using Deep Learning Model." In International Conference on Future Data and Security Engineering, pp. 64-75. Singapore: Springer Nature Singapore, 2023.

[45] Nguyen, Duyen Mai Thi, Narayan C. Debnath, Luyl-Da Quach, and Vinh Dinh Nguyen. "Machine Learning Algorithms for Gold Price Prediction." In International Conference on Advanced Intelligent Systems and Informatics, pp. 212-220. Cham: Springer Nature Switzerland, 2023.

-------------------------------------------------------------------------------------------2022-----------------------------------------------------------------------------------------------

[18] Quach, Luyl-Da, Nghi Pham Quoc, Nhien Huynh Thi, Nhan Le Thanh, Xuan Truong Thi Thanh, Duc Chung Tran, and Mohd Fadzil Hassan. "An AI-Based Chicken Disease Management System." In International Conference on Artificial Intelligence for Smart Community: AISC 2020, 17–18 December, Universiti Teknologi Petronas, Malaysia, pp. 707-716. Singapore: Springer Nature Singapore, 2022.

[19] Ba, Dat Huynh, Nhien Huynh Thi, Xuan Truong Thi Thanh, Cuong Pham Nhat, Khoi Nguyen Dinh, Sang Luu Phuoc, Bay Huynh Van, Lan Le Thi Thu, and Luyl-Da Quach. "Building a Logistic Optimization Model for Mekong Delta in Vietnam." In 2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA), pp. 335-340. IEEE, 2022.

[20] Quach, Luyl-Da, Nguyen Quoc Khang, Anh Nguyen Quynh, and Tran Ngoc Hoang. "Evaluation of the Efficiency of the Optimization Algorithms for Transfer Learning on the Rice Leaf Disease Dataset." International Journal of Advanced Computer Science and Applications 13, no. 10 (2022).

[21] Hoang, Tran Ngoc, and Luyl-Da Quach. "Adaptive Lane Keeping Assist for an Autonomous Vehicle based on Steering Fuzzy-PID Control in ROS." International Journal of Advanced Computer Science and Applications 13, no. 10 (2022).

-------------------------------------------------------------------------------------------2021-----------------------------------------------------------------------------------------------

[16]. Quách Luyl Đa, Phan Trọng Nghĩa, Trần Thanh Hùng, and Nguyễn Chí Ngôn. "Kiểm thử giải thuật AI trong nhận diện bệnh tôm qua hình ảnh." Tạp chí Khoa học Trường Đại học Cần Thơ 57, no. CĐ Thủy Sản (2021): 192-201.

[17] Uyen, My Vo Dang, Nha Truong Thanh, Anh Nguyen My, Hang Lam Thi Khanh, Lan Le Thi Thu, and Luyl-Da Quach. "MobileNetV2 in the Classification of Avian Influenza and CRD in Chickens." In Software Engineering Application in Informatics: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 1, pp. 668-678. Cham: Springer International Publishing, 2021.

-------------------------------------------------------------------------------------------2020-----------------------------------------------------------------------------------------------

[10].       Luyl-Da Quach, Dat Do Thanh, Duc Chung Tran, Mohd Fadzil Hassan, Comparative Study of Vietnamese Part-of-Speech Tagging Tools ,2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC 2020), 8 August 2020, Shah Alam, Malaysia, pp.197-202. (Scopus)

[11].       Duc Chung Tran, Hong Son Ha, Luyl-Da Quach, Mohd Fadzil Hassan, An Email to Readable Vietnamese Text Conversion Algorithm for Use in TTS ,2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC 2020), 8 August 2020, Shah Alam, Malaysia, pp. 49-52. (Scopus)

[12].       Luyl-Da Quach, Nghị Do Quoc, Duc Chung Tran, Mohd Fadzil Hassan, Identification of Chicken Diseases using VGGNet and ResNet Models, 6th EAI International Conference on Industrial Networks and Intelligent System (EAI INISCOM2020), Vietnam. (Q4, ISI) (Presented)

[13].   Quách Luyl Đa, Nguyễn Đức Dũng, Trần Thanh Hùng, Nguyễn Chí Ngôn, Kiểm thử giải thuật ai trong nhận diện bệnh tôm qua hình ảnh, tạp chí Đại học Cần Thơ (Submitted).

[14].   Luyl-Da Quach, Nghị Do Quoc, Nhien Nguyen Thi, Duc Chung Tran, Mohd Fadzil Hassan, Using SURF to Improve ResNet-50 Model for Poultry Disease Recognition Algorithm, International Conference on Computational Intelligence 2020, Malaysia (IEEE, Scopus) (submitted)

[15].   Duc Chung Tran, Hong Son Ha, Duc Long Nguyen, Luyl-Da Quach, Rosdiazli Ibrahim, An Approach for SARS-CoV-2 Infected Cases Report Analysis, International Conference on Computational Intelligence 2020, Malaysia (IEEE, Scopus) (submitted)

-------------------------------------------------------------------------------------------2019-----------------------------------------------------------------------------------------------

[1].       Chi-Ngon Nguyen, Luyl-Da Quach (2017), Application of HAMNOSYS and avatar 3D JAsigning to construction of Vietnamese sign language animations, Journal of Science and Technology, University of Da Nang, Vietnam, No.11(120) - Vol 1, p.61-65, ISSN 1859-1531.

[2].       Duong-Trung, Nghia, Luyl-Da Quach, and Chi-Ngon Nguyen (2019). "Learning deep transferability for several agricultural classification problems." (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 1, p.58-67.

[3].       Duong-Trung Nghia, Luyl-Da Quach, and Chi-Ngon Nguyen (2020), Towards Classification of Shrimp Diseases Using Transferred Convolutional Neural Networks, Advances in Science, Technology and Engineering Systems Journal, Volume 5 Issue 4, p. 724-732.

[4].       Luyl-Da Quach, Duy-Khang Nguyen Hua, Chi-Ngon Nguyen (2018), Converting the Vietnamese Television News into 3D Sign Language Animations for the Deaf, INISCOM 2018 - 4th EAI International Conference on Industrial Networks and Intelligent Systems, Springer Publishing, p.155 - 163. (Scopus, SCIE)

[5].       Luyl-Da Quach, Chi-Ngon Nguyen (2018), Conversion of the Vietnamese Grammar into Sign Language Structure Using the Example-Based Machine Translation Algorithm, ATC 2018 - The International Conference on Advanced Technologies for Communications, IEEE Publishing, Ho Chi Minh - Vietnam, pp. 27 - 31(ISSN: 2162-1039, ISBN:978-1-5386-6542-8 (Scopus)

[6].       Luyl-Da Quach, Nghia Duong-Trung, Vu Van Anh, and Nguyen Chi-Ngon (2019), Recommending the Workflow of Vietnamese Sign Language Translation via a Comparison of Several Classification Algorithms, 16th International Conference of the Pacific Association for Computational Linguistics (PACLING 2019) Hanoi, Vietnam, October 11th – 13th, 2019. (Q3, ISI, Scopus)

[7].       Luyl-Da Quach, Long Quach Hoang, Nghia Duong-Trung, and Chi-Ngon Nguyen (2019), Towards machine learning approaches to identify shrimp diseases based on description, FAIR’19- Proceedings of 12th National Conference on Fundamental and Applied Information Technology Research, p.494-501, ISBN: 978-604-913-915-4.

[8].       Duong-Trung, Nghia, Luyl-Da Quach, Minh-Hoang Nguyen, and Chi-Ngon Nguyen (2019), Classification of Grain Discoloration via Transfer Learning and Convolutional Neural Networks, In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, p. 27-32.(Scopus)

[9].       Duong-Trung, Nghia, Luyl Da Quach, Minh-Hoang Nguyen, and Chi-Ngon Nguyen (2019), A Combination of TransferLearning and Deep Learning for Medicinal Plant Classification, In Proceedings of the 2019 4th International Conference on Intelligent Information Technology, p. 83-90.(Scopus)