A hybrid ARIMA and neural networks model for PM-10 pollution estimation: The case of Chiang Mai city moat area R Wongsathan, I Seedadan Procedia Computer Science 86, 273-276, 2016 | 49 | 2016 |
Improvement on PM-10 forecast by using hybrid ARIMAX and neural networks model for the summer season in Chiang Mai R Wongsathan, S Chankham Procedia Computer Science 86, 277-280, 2016 | 13 | 2016 |
Optimal hybrid neuro-fuzzy based controller using MOGA for photovoltaic (PV) battery charging system R Wongsathan, A Nuangnit International Journal of Control, Automation and Systems 16, 3036-3046, 2018 | 9 | 2018 |
Artificial intelligence and ANFIS reduced rule for equivalent parameter estimation of PV module on various weather conditions utilized for MPPT R Wongsathan, I Seedadan Journal of Renewable Energy and Smart Grid Technology 12 (1), 37-56, 2017 | 9 | 2017 |
Performance of hybrid fuzzy and neuro-fuzzy controller with MOHGA based MPPT for a Solar PV module on various weather conditions R Wongsathan Engineering Journal Chiang Mai University 24 (2), 161-175, 2017 | 6 | 2017 |
Prediction Modeling of PM-10 in Chiangmai City Moat by Using Artificial Neural Networks R Wongsathan, I Seedadan, M Kavilkrue Applied Mechanics and Materials 781, 628-631, 2015 | 6 | 2015 |
Real-time prediction of the COVID-19 epidemic in Thailand using simple model-free method and time series regression model R Wongsathan Walailak Journal of Science and Technology (WJST) 18 (14), 10028 (11 pages …, 2021 | 5 | 2021 |
Improvement of PM-10 forecast using ANFIS model with an integrated hotspots R Wongsathan Science & Technology Asia, 61-70, 2018 | 5 | 2018 |
Fuzzy controller based maximum power point tracking technique of standalone photovoltaic module for lead-acid battery charging I Seedadan, R Wongsathan 2017 3rd International Conference on Control, Automation and Robotics (ICCAR …, 2017 | 5 | 2017 |
Hybrid forecast models for PM-10 prediction: A case study of Chiang Mai city of Thailand during high season R Wongsathan, I Seedadan, S Wanasri Engineering and Applied Science Research 43, 203-206, 2016 | 5 | 2016 |
Efficiency improvement of job scheduling by using Genetic Algorithm: A case study in electronic industry B Limwanich, R Wongsathan 2011 IEEE International Conference on Industrial Engineering and Engineering …, 2011 | 5 | 2011 |
Fuzzy logic‐based adaptive equaliser for non‐linear perpendicular magnetic recording channels R Wongsathan, P Supnithi IET Communications 13 (9), 1304-1310, 2019 | 4 | 2019 |
Optimal Intelligent Controllers for Multi-Stage CCCV Charging of Solar PV Battery Charger System R Wongsathan, A Nuangnit, I Seedadan 2018 International Conference on Computing, Power and Communication …, 2018 | 4 | 2018 |
Sarima intervention based forecast model for visitor arrivals to Chiang Mai, Thailand R Wongsathan Asia-Pacific Journal of Science and Technology 23 (4), 1-14, 2018 | 4 | 2018 |
Performance of the hybrid MLPNN based VE (hMLPNN-VE) for the nonlinear PMR channels R Wongsathan, W Phakphisut, P Supnithi AIP Advances 8 (5), 2018 | 3 | 2018 |
The hybrid neural networks-ARIMA/X models and ANFIS model for PM-10 forecasting: A case study of Chiang Mai, Thailand’s high season R Wongsathan Engng J CMU 25 (1), 203-13, 2018 | 3 | 2018 |
Neural networks equalizers for nonlinear magnetic recording channels R Wongsathan, W Phakphisut, P Supnithi 2017 14th International Conference on Electrical Engineering/Electronics …, 2017 | 3 | 2017 |
A Hybrid ARIMA and RBF Neural Network Model for Tourist Quantity Forecasting: A Case Study for Chiangmai Province R Wongsathan, W Jaroenwiriyapap KKU Res. J. 21, 37-54, 2016 | 3 | 2016 |
Heart disease classification using artificial neural networks R Wongsathan, P Pothong Applied Mechanics and Materials 781, 624-627, 2015 | 2 | 2015 |
The prioritization for higher education institutions performance criteria with Fuzzy Analytical Hierarchy Process R Wongsathan, A Khaothawirat, W Khuankaew 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1395-1401, 2014 | 2 | 2014 |