| Artificial neural network model for rainfall-runoff relationship P Junsawang, J Asavanant, C Lursinsap ASIMMOD, Chiang Mai, Thailand, 2007 | 63* | 2007 |
| Rainfall-Runoff relationship for streamflow discharge forecasting by ANN modelling S Areerachakul, P Junsawang World Congress on Sustainable Technologies (WCST-2014), 27-30, 2014 | 31 | 2014 |
| Prediction of dissolved oxygen using artificial neural network S Areerachakul, P Junsawang, A Pomsathit Int Conf Comput Commun Manage 5, 524-528, 2011 | 18 | 2011 |
| Establishment of a Potential Serum Biomarker Panel for the Diagnosis and Prognosis of Cholangiocarcinoma Using Decision Tree Algorithms P Kimawaha, A Jusakul, P Junsawang, R Thanan, A Titapun, N Khuntikeo, ... Diagnostics 11 (4), 589, 2021 | 13 | 2021 |
| Circulating TGF-β1 as the potential epithelial mesenchymal transition-biomarker for diagnosis of cholangiocarcinoma P Kimawaha, A Jusakul, P Junsawang, W Loilome, N Khuntikeo, ... Journal of gastrointestinal oncology 11 (2), 304, 2020 | 12 | 2020 |
| Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity P Junsawang, S Phimoltares, C Lursinsap PloS one 14 (9), e0220624, 2019 | 12 | 2019 |
| A fast learning method for streaming and randomly ordered multi-class data chunks by using one-pass-throw-away class-wise learning concept P Junsawang, S Phimoltares, C Lursinsap Expert Systems with Applications 63, 249-266, 2016 | 12 | 2016 |
| New Delay-Dependent Synchronization Criteria of Complex Dynamical Networks With Time-Varying Coupling Delay Based on Sampled-Data Control via New Integral Inequality A Hongsri, T Botmart, W Weera, P Junsawang IEEE Access 9, 64958-64971, 2021 | 10 | 2021 |
| Finite-Time Mixed H∞/Passivity for Neural Networks With Mixed Interval Time-Varying Delays Using the Multiple Integral Lyapunov-Krasovskii Functional C Phanlert, T Botmart, W Weera, P Junsawang IEEE Access 9, 89461-89475, 2021 | 9 | 2021 |
| Finite-Time Mixed H-infinity/Passivity for Neural Networks With Mixed Interval Time-Varying Delays Using the Multiple Integral Lyapunov-Krasovskii Functional C Phanlert, T Botmart, W Weera, P Junsawang IEEE ACCESS 9, 89461-89475, 2021 | 9 | 2021 |
| Numerical assessments employing neural networks for a novel drafted anti-virus subcategory in a nonlinear fractional-order SIR differential system S Noinang, M Munawar, MAZ Raja, Z Sabir, T Botmart, W Weera, ... IEEE Access 10, 114192-114202, 2022 | 3 | 2022 |
| Robust Outliers Detection Method for Skewed Distribution P Junsawang, M Promwongsa, W Srisodaphol Thailand Statistician 19 (3), 450-471, 2021 | 3 | 2021 |
| BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications T Intharah, K Wiratchawa, Y Wanna, P Junsawang, A Titapun, ... Artificial Intelligence in Medicine 139, 102539, 2023 | 2 | 2023 |
| Mixed H ∞ / passive exponential function projective synchronization of delayed neural networks with hybrid coupling based … T Botmart, N Yotha, P Niamsup, W Weera, P Junsawang Advances in Difference Equations 2019 (1), 1-26, 2019 | 1 | 2019 |
| Mixed H∞/passive exponential function projective synchronization of delayed neural networks with hybrid coupling based on pinning sampled-data control T Botmart, N Yotha, P Niamsup, W Weera, P Junsawang | 1 | 2019 |
| The Classification of Severity Level in Exertional Heatstroke Patients by Applying a Decision Tree Technique U Domthong, P Junsawang, V Wongsrichanalai, P Kittiworawittkul, ... Thailand Statistician 15 (1), 43-53, 2017 | 1 | 2017 |
| Finite-time decentralized event-triggered feedback control for generalized neural networks with mixed interval time-varying delays and cyber-attacks C Zamart, T Botmart, W Weera, P Junsawang AIMS Mathematics 8 (9), 22274-22300, 2023 | | 2023 |
| New Results on Delay-Interval-Dependent Robust Exponential Stability for Uncertain Neutral-Type Systems with Mixed Time-Varying Delays and Nonlinear Perturbations N Samorn, K Mukdasai, P Junsawang, S Pinjai Thai Journal of Mathematics 18 (1), 435-452, 2020 | | 2020 |
| New Exponential Passivity Analysis of Integro-Differential Neural Networks with Time-Varying Delays N Promdee, K Mukdasai, P Junsawang Thai Journal of Mathematics 18 (3), 1677-1699, 2020 | | 2020 |
| Missing imputation using combining Lagrange interpolation and principal component multiple linear regression methods W Puttamat, W Srisodaphol, P Junsawang Supported by, 85, 2014 | | 2014 |
Suphakant PhimoltaresChulalongkorn University在 chula.ac.th 的电子邮件经过验证
