# | Document title | Authors | Year | Source | Cited by |
1 | Development of calibration models for rapid determination of moisture content in rubber sheets using portable near-infrared spectrometers | Puttipipatkajorn A., Puttipipatkajorn A. | 2020 | Journal of Innovative Optical Health Sciences 13(2) | 13 |
2 | Multi-parameter index for durian maturity and its prediction using miniature near infrared spectrometer | Cheepsomsong T., Sangwanangkul P., Puttipipatkajorn A., Terdwongworakul A., Puttipipatkajorn A., Kulmutiwat S., Phuangsombut A. | 2023 | Postharvest Biology and Technology 205 | 6 |
3 | A new method of pipeline detection in sonar imagery using Self-Organizing Maps | Puttipipatkajorn A., Jouvencel B., Salgado-Jimenez T. | 2003 | IEEE International Conference on Intelligent Robots and Systems 1,pp. 541-546 | 5 |
4 | Application of a portable near-infrared spectrometer for rapid, non-destructive evaluation of moisture content in Para rubber timber | Noypitak S., Puttipipatkajorn A., Ruangkhasap S., Terdwongworakul A., Puttipipatkajorn A. | 2021 | Wood Science and Technology
| 2 |
5 | Rapid quality evaluation of Camellia oleifera seed kernel using a developed portable NIR with optimal wavelength selection | Puttipipatkajorn A., Puttipipatkajorn A. | 2022 | IEEE Access
| 1 |
6 | Indirect prediction of dry matter in durian pulp with combined features using miniature NIR spectrophotometer | Puttipipatkajorn A., Terdwongworakul A., Puttipipatkajorn A., Kulmutiwat S., Sangwanangkul P., Cheepsomsong T. | 2023 | IEEE Access
| 1 |
7 | Development of low-cost portable spectrometer equipped with 18-band spectral sensors using deep learning model for evaluating moisture content of rubber sheets | Puttipipatkajorn A., Puttipipatkajorn A. | 2024 | Smart Agricultural Technology 9 | 0 |
8 | Using self-organizing maps approach to pipeline localization | Puttipipatkajorn A., Jouvencel B., Salgado-Jimenez T. | 2003 | Oceans Conference Record (IEEE) 5,pp. 2398-2403 | 0 |
9 | Spectroscopic measurement approaches in evaluation of dry rubber content of cup lump rubber using machine learning techniques | Puttipipatkajorn A., Puttipipatkajorn A. | 2021 | International Journal of Agricultural and Biological Engineering 14(3),pp. 207-213 | 0 |