# | Document title | Authors | Year | Source | Cited by |
1 | Moisture content prediction of paddy drying in a fluidized-bed drier with a vortex flow generator using an artificial neural network | Chokphoemphun S., Chokphoemphun S. | 2018 | Applied Thermal Engineering 145,pp. 630-636 | 60 |
2 | Experimental study and neural networks prediction on thermal performance assessment of grooved channel air heater | Chokphoemphun S., Hongkong S., Thongdaeng S., Chokphoemphun S. | 2020 | International Journal of Heat and Mass Transfer 163 | 25 |
3 | Evaluation of drying behavior and characteristics of potato slices in multi–stage convective cabinet dryer: Application of artificial neural network | Chokphoemphun S., Hongkong S., Chokphoemphun S. | 2023 | Information Processing in Agriculture
| 11 |
4 | Effect of conical air distributors on drying of peppercorns in a fluidized bed dryer: Prediction using an artificial neural network | Chuwattanakul V., Wongcharee K., Pimsarn M., Chokphoemphun S., Chamoli S., Eiamsa-Ard S. | 2022 | Case Studies in Thermal Engineering 36 | 5 |
5 | Artificial neural network for drying behavior prediction of paddy in developed chamber fluidized–bed dryer | Chokphoemphun S., Hongkong S., Chokphoemphun S. | 2024 | Computers and Electronics in Agriculture 220 | 5 |
6 | Case study of design and construction of dehydration for paddy by heat exchanger rectangular two-phase closed thermosyphon(DP-HE/RTPCT) | Thongdang S., Sichamnan S., Chokphoemphun S., Donmuang A., Pipatpaiboon N. | 2024 | Case Studies in Thermal Engineering 57 | 3 |
7 | Image classification of lotus in Nong Han Chaloem Phrakiat Lotus Park using convolutional neural networks | Phattaraworamet T., Sangsuriyun S., Kutchomsri P., Chokphoemphun S. | 2024 | Artificial Intelligence in Agriculture 11,pp. 23-33 | 3 |
8 | CLASSIFICATION OF NITROGEN DEFICIENCIES IN CANNABIS LEAVES USING A CONVOLUTIONAL NEURAL NETWORK | Thasnas N., Sangsuriyun S., Phattaralerphong J., Chokphoemphun S. | 2025 | ICIC Express Letters 19(2),pp. 129-137 | 0 |