ร.อ. ผศ.ดร.ปธิกร อันชื่น

Research Area

• Telecommunication, Image Processing, Artrificial Intelligent

Publication

• Tanomchad, N., Anchuen, P., & Daungklang, P. (2024). The Development of Disaster Relief Systems for The Royal Thai Air Force Utilizing Geographic Information Systems with Line Application. Journal of Information Science Research and Practice, 42(2), 48–63. https://doi.org/10.14456/jiskku.2024.11 

• T. Jumphoo, K. Phapatanaburi, W. Pathonsuwan, P. Anchuen, M. Uthansakul and P. Uthansakul, (2024). Exploiting Data-Efficient Image Transformer-Based Transfer Learning for Valvular Heart Diseases Detection. in IEEE Access, 12, 15845-15855. 

• Anchuen, P., & Phisutthangkoon, N. (2022). A Model of Fighter Aircraft Classification Based on Information of Unknown Target Using Artificial Neural Networks. Journal of Applied Research on Science and Technology (JARST), 21(2), 89–103. https://doi.org/10.14456/jarst.2022.20 

• Anchuen, P., Uthansakul, P., & Uthansakul, M. (2021). QoE analysis for improving multimedia services based on different operating situations on cellular networks. IEEE Access, 9, 116215-116230, doi: 10.1109/ACCESS.2021.3106241. 

• Petchmak, W., Daungklang, P., & Anchuen, P. (2023, September). Comparing Coverage Models of Radar: Evaluating Viewshed Against Ground Truth Detection. In 2023 8th International STEM Education Conference (iSTEM-Ed) (pp. 1-4). IEEE. 

• Anchuen, P., Uthansakul, P., Uthansakul, M., Poochaya, S. (2022). Fleet optimization of smart electric motorcycle system using deep reinforcement learning. Computers, Materials & Continua, 71(1), 1925-1943. https://doi.org/10.32604/cmc.2022.022444 

• Wongsathon Pathonsuwan, Khomdet Phapatanaburi, Prawit Buayai, Talit Jumphoo, Patikorn Anchuen, Monthippa Uthansakul, and Peerapong Uthansakul. (2022). RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model. in IEEE Access, vol 10, 120450-120461 

• Anchuen, P., Daungklang, P., & Wongkamchang, P. (2022). A comparative study of classifiers for analyzing agricultural land use. NKRAFA JOURNAL OF SCIENCE AND TECHNOLOGY, 18(2), 16–25. Retrieved from https://ph02.tci-thaijo.org/index.php/nkrafa-sct/article/view/246837