# | Document title | Authors | Year | Source | Cited by |
1 | A new shape descriptor and segmentation algorithm for automated classifying of multiple-morphological filamentous algae | Iamsiri S., Sanevas N., Watcharopas C., Wattuya P. | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11540 LNCS, pp. 149-163 | 7 |
2 | Particle Merging-and-Splitting | Truong N., Yuksel C., Watcharopas C., Levine J.A., Kirby R.M. | 2021 | IEEE Transactions on Visualization and Computer Graphics | 2 |
3 | Extracting surface geometry from particle-based fracture simulations | Watcharopas C., Watcharopas C., Sapra Y., Geist R., Levine J. | 2015 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9474, pp. 82-91 | 1 |
4 | Global thresholding based on improved histogram for chalk area segmentation in rice quality evaluation | Itharat P., Wattuya P., Sreewongchai T., Watcharopas C. | 2020 | Proceedings of SPIE - The International Society for Optical Engineering, 11519, 115190M | 1 |
5 | Pixelcuts: Scalable approximate illumination from many point lights | Khungurn P., Saranurak T., Watcharopas C. | 2011 | Chiang Mai Journal of Science, 38(2 SPEC. ISSUE), pp. 8-16 | 1 |
6 | Geometry and reflectance estimation for virtualization | Watcharopas C., Danforth R. | 2000 | Proceedings of the Annual Southeast Conference, 2000-April, pp. 220-229 | 0 |
7 | Ice Melting Simulation using SPH and Heat Transfer with Constant Ambient Temperature | Chayanurak N., Watcharopas C. | 2018 | Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018, 8457371 | 0 |
8 | Deep Learning for Detecting Malaria Parasites of Infected Red Blood Cells in Thin Blood Smear Images | Naksuwan W., Suwannahitatorn P., Watcharopas C., Wattuya P. | 2022 | Proceedings - 2022 5th Asia Conference on Machine Learning and Computing, ACMLC 2022, pp. 77-82 | 0 |
9 | Forecasting of photovoltaic power using deep learning | Lertwiputh A., Watcharopas C., Wattuya P. | 2025 | ACMLC 2024 - 2024 6th Asia Conference on Machine Learning and Computing, pp. 1-6 | 0 |