Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM2.5) in Bangkok, Thailand. - Patchanok Srisuradetchai; Wararit Panichkitkosolkul (MIWAI, 2022)

Efficient Initialization of the Correlation Matrix in NORTA Using Quasi-Monte Carlo and Updating Techniques. - Benjamas Tulyanitikul; Praphan Klompon; Patchanok Srisuradetchai (TENCON, 2023)

A Novel Interval Forecast for K-Nearest Neighbor Time Series: A Case Study of Durian Export in Thailand. - Patchanok Srisuradetchai (IEEE Access, 2024)

Random kernel k-nearest neighbors regression. - Patchanok Srisuradetchai; Korn Suksrikran (Frontiers Big Data, 2024)

Wald Intervals via Profile Likelihood for the Mean of the Inverse Gaussian Distribution. - Patchanok Srisuradetchai; Ausaina Niyomdecha; Wikanda Phaphan (Symmetry, 2024)

Bayesian Inference for the Gamma Zero-Truncated Poisson Distribution with an Application to Real Data. - Patchanok Srisuradetchai; Ausaina Niyomdecha (Symmetry, 2024)