Machine learning, Pattern recognition, Image processing, especially medical imaging, and their applications.
Khomkham, B., & Thongjunthuk, T. (2014). Necessary Conditions of Existence of Solutions. The 9th Conference on Science and Technology for Youths, Bangkok, Thailand. (Presentation)
Khomkham, B., Wattanathum, A., & Lipikorn, R. (2017, October). Peripheral pulmonary lesion classification from endobronchial ultrasonography images using weight-sum of upper and lower GLCM feature. In 2017 7th IEEE International Conference on System Engineering and Technology (ICSET) (pp. 157-161). IEEE.
Dechsanga, J., Wattanathum, A., Wongsrichanalai, V., Promthong, K., Khomkham, B., Lapikorn, R., & Suravorachet, W. (2018). Predicted Malignancy of Pulmonary Lesion by Using Tumor Inspector Version 1 Program in Phramongkutklao Hospital. Journal of Southeast Asian Medical Research, 2(1), 37-44.
Khomkham, B., & Lipikorn, R. (2021). Pulmonary lesion classification from endobronchial ultrasonography images using adaptive weighted‐sum of the upper and lower triangular gray‐level co‐occurrence matrix. International Journal of Imaging Systems and Technology, 31(3), 1280-1293.
Khomkham, B., & Lipikorn, R. (2022). Pulmonary Lesion Classification Framework Using the Weighted Ensemble Classification with Random Forest and CNN Models for EBUS Images. Diagnostics, 12(7), 1552.
Ieosanurak, W., Khomkham, B., & Moumeesri, A. (2023). Claim Modeling and Insurance Premium Pricing Under A Bonus–Malus System in Motor Insurance. International Journal of Applied Mathematics and Computer Science, 33(4), 637-650.
Supmee, P., Suwanmalai, K., Hanchoenkul, N., Sae-Bae, N., & Khomkham, B. (2023, June). Effects of Speech Duration on Preserving the Identity of Synthesized Voice. In 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 242-246). IEEE.
Vinayavekhin, P., Khomkham, B., Suppakitpaisarn, V., Codognet, P., Terada, T., & Miura, A. (2024). Identifying Relationships and Classifying Western-Style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-Era Japanese Artists. ACM Journal on Computing and Cultural Heritage, 17(1), 1-18.
Aieprasert, T., Mahdlang, Y., Pansiri, C., Sae-Bae, N., & Khomkham, B. (2024). Transferability of CNN models for GAN-generated face detection. Multimedia Tools and Applications, 1-17.
Thepsueb, P., & Khomkham, B. (2025, February). Cnns Optimization for Corn Leaf Disease Detection Using Post-Training Quantization Techniques. In 2025 17th International Conference on Knowledge and Smart Technology (KST) (pp. 7-12). IEEE.