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Juraphanthong, W., & Kesorn, K. (2025). Autoregressive integrated moving average with semantic information: An efficient technique for intelligent prediction of dengue cases. Engineering Applications of Artificial Intelligence, 143, 109985. https://www.sciencedirect.com/science/article/pii/S0952197624021444
Juraphanthong, W., & Kesorn, K. (2024). The Intelligent Approach of Auto-Regressive Integrated Moving Average with Exogenous Semantic (ARIMAXS) Variables for COVID-19 Incidence Prediction. Vol, 15, 207–216. http://www.icicelb.org/ellb/contents/2024/2/elb-15-02-12.pdf
Katekarn, S., Sisuk, N., Nuamchit, T., Jittiporn, K., & Payakpate, J. (2023). Studying Cardiac Electrophysiology via EPSSIM. 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE), 458–463. https://doi.org/10.1109/JCSSE58229.2023.10202074
Yammen, S., & Limsripraphan, W. (2023). New Classification of Textile Samples through lp Norm Spectral Enhancement Using Template Filters Combining the Analytic Geometry Technique. Naresuan University Engineering Journal, 18(2), 57–68. https://ph01.tci-thaijo.org/index.php/nuej/article/view/254653
Juraphanthong, W., & Kesorn, K. (2021). Time series data enrichment using semantic information for dengue incidence forecasting. Science, Engineering and Health Studies, 21050013–21050013. https://doi.org/https://doi.org/10.14456/sehs.2021.50
Juraphanthong, W., & Jitprapaikulsarn, S. (2020). An asymmetric cryptography using Gaussian integers. Engineering & Applied Science Research, 47(2). https://ph01.tci-thaijo.org/index.php/easr/article/view/187829
Panyayai, T., Ngamphiw, C., Tongsima, S., Mhuantong, W., Limsripraphan, W., Choowongkomon, K., & Sawatdichaikul, O. (2019). FeptideDB: A web application for new bioactive peptides from food protein. Heliyon, 5(7). https://www.cell.com/heliyon/fulltext/S2405-8440(19)35736-6
Kesorn, K., Juraphanthong, W., & Salaiwarakul, A. (2017). Personalized attraction recommendation system for tourists through check-in data. IEEE Access, 5, 26703–26721. https://ieeexplore.ieee.org/abstract/document/8123926/