| Attention-based hybrid deep learning network for human activity recognition using WiFi channel state information S Mekruksavanich, W Phaphan, N Hnoohom, A Jitpattanakul Applied Sciences 13 (15), 8884, 2023 | 10 | 2023 |
| On the new weight parameter of the mixture Pareto distribution and its application to real data C Chananet, W Phaphan Applied Science and Engineering Progress 14 (3), 460-467, 2021 | 6 | 2021 |
| R package for the two-parameters crack distribution W Phaphan International Journal of Mathematics and Computer Science 16 (4), 1455-1467, 2021 | 6 | 2021 |
| Detecting fraudulent claims in automobile insurance policies by data mining techniques T Simmachan, W Manopa, P Neamhom, A Poothong, W Phaphan Thailand Statistician 21 (3), 552-568, 2023 | 4 | 2023 |
| Maximum likelihood estimation of the weighted mixture generalized gamma distribution W Phaphan, T Simmachan, I Abdullahi Math. Stat 11 (3), 516-527, 2023 | 4 | 2023 |
| A generalization of length-biased Nakagami distribution I Abdullahi, W Phaphan Int. J. Math. Comput. Sci 17, 21-31, 2022 | 4 | 2022 |
| Parameter estimation for re-parameterized length-biased inverse Gaussian distribution K Budsaba, W Phaphan Int. J. Math. Comput. Sci. 17 (1), 107-121, 2022 | 4 | 2022 |
| Combining Machine Learning Models with ARIMA for COVID-19 Epidemic in Thailand P Srisuradetchai, W Panichkitkosolkul, W Phaphan 2023 Research, Invention, and Innovation Congress: Innovative Electricals …, 2023 | 3 | 2023 |
| Some properties of the new mixture of generalized gamma distribution I Abdullahi, W Phaphan Lobachevskii Journal of Mathematics 43 (9), 2349-2359, 2022 | 3 | 2022 |
| Computing Bayesian bonus-malus premium distinguishing among different multiple types of claims T Pongsart, A Moumeesri, T Mayureesawan, W Phaphan Lobachevskii Journal of Mathematics 42 (13), 3208-3217, 2021 | 3 | 2021 |
| Asymptotic confidence ellipses for length-biased inverse Gaussian distribution W Phaphan, T Pongsart วารสาร วิชาการ พระจอมเกล้า พระนครเหนือ 29 (2), 332-341, 2019 | 3 | 2019 |
| Estimating parameter for the mixture generalized gamma distribution W Phaphan Proceedings of the 10th International Conference on Computer Modeling and …, 2018 | 3 | 2018 |
| Wald Intervals via Profile Likelihood for the Mean of the Inverse Gaussian Distribution P Srisuradetchai, A Niyomdecha, W Phaphan Symmetry 16 (1), 93, 2024 | 2 | 2024 |
| Asymptotic confidence ellipses for the re-parameterized inverse Gaussian distribution W Phaphan Journal of Applied Science and Emerging Technology 19 (1), 36-50, 2020 | 2 | 2020 |
| Using Monte-Carlo Dropout in Deep Neural Networks for Interval Forecasting of Durian Export P SRISURADETCHAI, W PHAPHAN WSEAS TRANSACTIONS on SYSTEMS and CONTROL, 2024 | 1 | 2024 |
| Properties and Maximum Likelihood Estimation of the Novel Mixture of Fréchet Distribution W Phaphan, I Abdullahi, W Puttamat Symmetry 15 (7), 1380, 2023 | 1 | 2023 |
| Some Properties of the New Mixture of Nakagami Distribution I Abdullahi, W Phaphan Thailand Statistician 20 (4), 731-743, 2022 | 1 | 2022 |
| Generalization of two-sided length biased inverse Gaussian distributions and applications T Simmachan, W Phaphan Symmetry 14 (10), 1965, 2022 | 1 | 2022 |
| Generalization of Two-Sided Length Biased Inverse Gaussian Distributions and Applications. Symmetry 2022, 14, 1965 T Simmachan, W Phaphan s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 1 | 2022 |
| Estimating the parameters of a two-parameter crack distribution W Phaphan, T Pongsart Applied Science and Engineering Progress 12 (1), 29-36, 2019 | 1 | 2019 |
Anuchit JitpattanakulKing Mongkut's University of Technology North BangkokVerified email at sci.kmutnb.ac.th
