Publications

Journal

• Getsopon, W., Phiphitphatphaisit, S., Okafor, E., & Surinta, O. (2025). Int.2D-3D-CNN: Integrated 2D and 3D Convolutional Neural Networks for Video Violence Recognition. Mathematics, 13(16), 2665. https://doi.org/10.3390/math13162665
• Susan, J., Doenribram, D., Nuankaew, W. S., Nuankaew, P., Chaisoong, & Jareanpon, C. (202x). Enhancing Depression Classification from Social Media using Transformer-Based Ensemble Models and DSM-5 Criteria, (Accepted).
• Chanbuala, K., Puangpronpitag, D., Puangpronpita, E., & Puangpronpitag, S. (2025). Security Analysis and Mitigation of SSL Stripping, Homograph Redirection, and Keylogging Attacks: A Case Study on Thai Web Platforms. Journal of Current Science and Technology, 15(4), (Accepted).
• Khamket, T., Polpinij, J., Rojarath, A., & Luaphol, B. (2025). Enhancing Sentiment Classification: A Comparative Analysis of Supervised and Unsupervised Methods for Improving Training Data Quality. ICIC Express Letters Part B: Applications, 16(5), 471-479. doi: 10.24507/icicelb.16.05.471.
• Sungsri, T., Sungsri, T., Okafor, E., & Surinta, O. (2025). Fusion-Based Convolutional Recurrent Neural Network for Improved Dynamic Thai Fingerspelling Recognition. ICIC Express Letters, Part B: Applications, 16(2), 201-210. doi: 10.24507/icicelb.16.02.201
• Bussabong, Z., Jarutan, P., Okafor, E., & Surinta, O. (2025). Enhancing Image Caption Performance with Improved Visual Attention Mechanism. ICIC Express Letters, Part B: Applications, 16(1), 73-82. doi: 10.24507/icicelb.16.01.73
• Jarutan, P., Hanyong, T., Bussabong, Z., Okafor, E., & Surinta, O. (2025). Multimodal Fusion of Convolutional Recurrent Neural Network and Language Models for Text Recognition. ICIC Express Letters, Part B: Applications, 16(1), 83-91. doi: 10.24507/icicelb.16.01.83
• Sungsri, T., Sungsri, T., Okafor, E., & Surinta, O. (2025). Multimodal Emotion Recognition Based on Hybrid Ensemble Deep Learning Framework. ICIC Express Letters, Part B: Applications, 16(1), 93-102. doi: 10.24507/icicelb.16.01.93
• Phiphitphatphaisit, S., & Surinta, O. (2024). Multi-Layer Adaptive Spatial-Temporal Feature Fusion Network for Efficient Food Image Recognition. Expert Systems with Applications, 255, Part D, Article 124834. https://doi.org10.1016/j.eswa.2024.124834 (ISI Q1, Impact Factor 7.5: Scopus Q1, CiteScore 13.8, Percentile 96%)
  
• Choompookham, T., Phiphitphatphaisit, S., Okafor, E., & Surinta, O. (2024). Robust Model Selection for Plant Leaf Image Recognition Based on Evolutionary Ant Colony Optimization with Learning Rate Schedule, IEEE Access, 12, 132369-132389.https://doi.org/10.1109/ACCESS.2024.3457753 (ISI Q2, Impact Factor 3.4: Scopus Q1, CiteScore 9.0, Percentile 92%)
  
• Sangkatip, W., Chomphuwiset, P., Bunluewong, K., Mekruksavanich, S., Okafor, E., & Surinta, O. (2024). Improving Neural Network-Based Multi-Label Classification with Pattern Loss Penalties. IEEE Access, 12, 52237 – 52248. https://doi.org/10.1109/ACCESS.2024.3386841 (ISI Q2, Impact Factor 3.4: Scopus Q1, CiteScore 9.0, Percentile 92%)
• Nuankaew, W., Doenribram, D., Jareanpon, C., Nuankaew, P. and Thanarat, P. (2023). A new probabilistic weighted voting model for depressive disorder classification from captions and colors of images. ICIC Express Letters, 17(5), 531-540. doi: 10.24507/icicel.17.05.531. (Scopus Q3)
• Khamket, T. and Polpinij, J. (2023). Automatically Correcting Noisy Labels for Improving Quality of Training Set in Domain-specific Sentiment Classification. Current Applied Science and Technology, 23(2), doi: 10.55003/cast.2022.02.23.006. (Scopus Q4)
• Nuankaew, W., Nuankaew, P., Doenribram, D. and Jareanpon, C. (2023). Weighted Voting Ensemble for Depressive Disorder Analysis with Multi-objective Optimization. Current Applied Science and Technology, 23(1), doi: 10.55003/cast.2022.01.23.015. (Scopus Q4)
• Sangkatip, W. and Chomphuwiset, P. (2023). Improving Multi-label Classification using Feature Reconstruction Methods. Current Applied Science and Technology, 23(1), doi: 10.55003/cast.2022.01.23.013 (Scopus Q4)
• Boonsirisumpun, N. and Surinta, O. (2022). Ensemble Multiple CNNs methods with partial Training Set for Vehicle Image Classification. Science, Engineering and Health Studies, 16, 22020001. doi: 10.14456/sehs.2022.12 (Scopus Q4)
• Gonwirat, S. and Surinta, O. (2022). DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters. IEEE Access, 10, 90133-90148. doi: 10.1109/ACCESS.2022.3201560. (ISI Q2, Impact factor 3.367)
• Noppitak, S. and Surinta, O. (2022). dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification, IEEE Access, 10, 60725-60737. doi: 10.1109/ACCESS.2022.3180844(ISI Q2, Impact factor 3.367)
• Getsopon, W. and Surinta, O. (2022). Fusion Lightweight Convolutional Neural Networks and Sequence Learning Architectures for Violence Classification, ICIC Express Letters, Part B: Applications, 13(10), 1027-1035. doi: 10.24507/icicelb.13.10.1027. (Scopus Q3)
• Lata, S., Phiphitphatphaisit, S., Gonwirat, S. and Surinta, O. (2022). Dynamic Fingerspelling Recognition from Video Using Deep Learning Approach: From Detection to Recognition, ICIC Express Letters, Part B: Applications, 13(9), 949-957. doi: 10.24507/icicelb.13.09.949 (Scopus Q3)
• Enkvetchakul, P. and Surinta, O. (2022). Effective Data Augmentation and Training Techniques for Improving Deep Learning in Plant Leaf Disease Recognition. Applied Science and Engineering Progress. 15(3), 1-12. doi: 10.14416/j.asep.2021.01.003 (Scopus Q3)
• Gonwirat, S. and Surinta, O. (2022). CycleAugment: Efficient Data Augmentation Strategy for Handwritten Text Recognition in Historical Document Images. Engineering and Applied Science Research, 49(4), 505-520. (Scopus Q4)
• Lata, S. and Surinta, O. (2022). An End-to-End Thai Fingerspelling Recognition Framework with Deep Convolutional Neural Networks, ICIC Express Letters, 16(5), 529-536. doi: 10.24507/icicel.16.05.529 (Scopus Q3)
• Enkvetchakul, P. and Surinta, O. (2022). Ensemble of Lightweight Convolutional Neural Networks for Plant Leaf Disease Recognition, ICIC Express Letters, 16(5), 521-528. doi: 10.24507/icicel.16.05.521(Scopus Q3)
• Boonsirisumpun, N. and Surinta, O. (2022). Fast and Accurate Deep Learning Architecture on Vehicle Type Recognition. Current Applied Science and Technology, 22(1) (January-February 2022), 1-16. doi: 10.55003/cast.2022.01.22.001 (Scopus Q4)
• Phiphiphatphaisit, S. and Surinta, O. (2021). Deep Feature Extraction Technique Based on Conv1D and LSTM Network for Food Image Recognition, Engineering and Applied Science Research, 48(5), 581-592. (Scopus Q3)
• Chaisoong, U., Tirakoat, S., and Jareanpon, C. (2021). Tourist Information-Seeking Behaviours Using Association Rule Mining. ICI Express Letters, 15(9), 915-923. doi: 10.24507/icicel.15.09.91 (Scopus Q3)
• Chompookham, T. and Surinta, O. (2021). Ensemble Methods with Deep Convolutional Neural Networks for Plant Leaf Recognition. ICIC Express Letters, 15(6), 553-565. doi: 10.24507/icicel.15.06.553 (Scopus Q3)
• Noppitak, S. and Surinta, O. (2021). Ensemble Convolutional Network Architectures for Land Use Classification in Economic Crops Aerial Images. ICIC Express Letters, 15(6), 531-543. doi: 10.24507/icicel.15.06.531 (Scopus Q3)

Proceeding

• Chanbuala, K., Puangpronpitag, E., Puangpronpitag, D., and Puangpronpitag, S. (2025). Evaluating and Mitigating HTTPS Interception in Thai E-Banking Websites: Challenges and Solutions. In Proceedings of the 2024 13th International Conference on Networks, Communication and Computing (ICNCC). ACM, New York, NY, USA, 81–86. https://doi.org/10.1145/3711650.3711662
• Sangkatip, W. and Phuboon-ob, J. (2020). Non-Communicable Diseases Classification Using Multi-Label Learning Techniques. in the 5th International Conference on Information Technology (InCIT). 1-5. https://doi.org/10.1109/InCIT50588.2020.9310978, slide, video,
• Chaisoong, U. and Tirakoat, S. (2020). The Clustering of Questions Affect to Tourist’s Decision Making for Chatbot Design. in the 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). 784-787. https://doi.org/10.1109/ECTI-CON49241.2020.9158069, slide
• Nuankaew, W. and Thongkam, J. (2020). Improving Student Academic Performance Prediction Models using Feature Selection, in the 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). 392-395. https://doi.org/10.1109/ECTI-CON49241.2020.9158286, slide
• Gonwirat, S. and Surinta, O. (2020). Improving Recognition of Thai Handwritten Characters with Deep Convolutional Neural Networks, in the 3rd International Conference on Information Science and System (ICISS), 82-87. https://doi.org/10.1145/3388176.3388181,  slide, video
• Noppitak, S., Gonwirat, S. and Surinta, O. (2020). Instance Segmentation of Water Body from Aerial Image using Mask Region-based Convolutional Neural Network, in the 3rd International Conference on Information Science and System (ICISS). 61-66.  https://doi.org/10.1145/3388176.3388184, slide, video
• Chompookham, T., Gonwirat, S., Lata, S., Phiphiphatphaisit, S. and Surinta, O. (2020). Plant Leaf Image Recognition using Multiple-grid Based Local Descriptor and Dimensionality Reduction Approach, in the 3rd International Conference on Information Science and System (ICISS). 72-77. https://doi.org/10.1145/3388176.3388180, slide, video
• Phiphiphatphaisit, S. and Surinta, O. (2020). Food Image Classification with Improved MobileNet Architecture and Data Augmentation, in the 3rd International Conference on Information Science and System (ICISS). 51-56. https://doi.org/10.1145/3388176.3388179, slide, video