Publication  Papers

Journal Publication

1.  O. Chaowalit, P. Kuntitan, P. Watjanapron, and S. Arampongsanuwat, “Application of Siamese Network to Classify Small Dataset of the Motifs on the Center of Sukhothai Ceramics,” ICIC Express Lett., Part B: Appl., vol. 16, no. 5, pp. 463–469, May 2025, doi: 10.24507/icicelb.16.05.463.

2.  O. Chaowalit, W. Selanon, S. Jaipanya, M. Nopparatmaitree, and S. Arampongsanuwat, “Multivariate Time Series Forecasting Thailand Soybean Meal Price with Deep Learning Models,” ICIC Express Lett., Part B: Appl., vol. 16, no. 3, pp. 317–323, Mar. 2025, doi: 10.24507/icicelb.16.03.317.

3.  P. Watjanapron and O. Chaowalit, “Using Deep Learning Model with Multiple Inputs for Thai Defamatory Text Classification on Public Facebook Comments,” ICIC Express Lett., vol. 17, no. 3, pp. 315–328, 2023.

4.  P. Kuntitan and O. Chaowalit, “Using Deep Learning for the Image Recognition of Motifs on the Center of Sukhothai Ceramics,” Curr. Appl. Sci. Technol., vol. 22, no. 2, pp. 1–15, Mar.–Apr. 2022, doi: https://doi.org/10.55003/cast.2022.02.22.002

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6. S. Arampongsanuwat and O. Chaowalit, “Application of Deep Convolutional Neural Networks for Mangosteen Ripeness Classification,” ICIC Express Lett., vol. 15, no. 6, pp. 649–657, 2021, doi: 10.24507/icicel.15.06.649.

7.  O. Chaowalit and O. Sornil, “Abstractive Thai Opinion Summarization,” Adv. Mater. Res., vol. 971–973, pp. 2273–2280, 2014.

Proceeding English

1. P. Visutsak, A. Wijitemee, A. Mahaphon, and O. Chaowalit, “Machine-Learning-Based Profanity Detection and Removal in Cartoons Videos,” in Proc. ICCR 2023: 5th Int. Conf. Control and Robotics, Tokyo, Japan, Nov. 23–25, 2023, pp. 162–167. ISBN: 979-8-3503-0761-0.

2.  G. Bunyakiat, O. Chaowalit, and P. Visutsak, “Resilience Techniques for an Automatic Car Parking System,” in Proc. 2021 Int. Conf. Data Analytics for Business and Industry (ICDABI), 2021, pp. 226–229, doi: 10.1109/ICDABI53623.2021.9655972.

3.  A. Ritthipakdee, S. Soottitantawat, O. Chaowalit, and F. Pensiri, “An Improved Shark Algorithm for Optimization Problem,” in Proc. 46th Int. Congress on Science, Technology and Technology-based Innovation (STT46), Bangkok, Thailand, Oct. 5–7, 2020, pp. 294–299.

4.  J. Preechasuk, O. Chaowalit, F. Pensiri, and P. Visutsak, “Image Analysis of Mushroom Types Classification by Convolution Neural Networks,” in Proc. 2019 2nd Artificial Intelligence and Cloud Computing Conf. (AICCC), Dec. 2019, pp. 82–88, doi: 10.1145/3375959.3375982.

5.  P. Visutsak, F. Pensiri, and O. Chaowalit, “Smooth Voxel Surface for Medical Volumetric Rendering,” in Proc. 2019 Int. Conf. Image and Video Processing, and Artificial Intelligence, Shanghai, China, Nov. 27, 2019, vol. 11321, doi: 10.1117/12.2549468.

6.  F. Pensiri, P. Visutsak, and O. Chaowalit, “Clustering Tourist using DBSCAN Algorithm,” in Proc. 2019 2nd Asia-Pacific Conf. Applied Mathematics and Statistics, Kuala Lumpur, Malaysia, Feb. 21–24, 2019, pp. 16.

7.  N. Thessrimuang and O. Chaowalit, “Opinion Representative of Cosmetic Products,” in Proc. 2017 20th Int. Computer Science and Engineering Conf. (ICSEC), 2016, doi: 10.1109/ICSEC.2016.7859945.

8.  C. Chantrapornchai, K. Sripanomwan, and O. Chaowalit, “E-wizard Toolkit: A Prototype Tool for Concurrent and Embedded System Design,” Int. J. Control Autom., vol. 4, no. 2, pp. 125–140, 2011.

9.  C. Chantrapornchai, K. Sripanomwan, O. Chaowalit, and J. Pipatpaisarn, “Developer Toolkit for Embedded Fuzzy System Based on E-Fuzz,” in Lecture Notes in Computer Science, vol. 6485, pp. 220–233, 2010.

วารสารไทย

1.  N. Kongsakul, T. Suebsom, O. Chaowalit, S. Arampongsanuwat, and K. Sitthisanguan, “Voice Ghost Guard: Sound Defense Parcel Delivery Game,” KKU Sci. J., vol. 52, no. 1, pp. 121–134, Jan.–Apr. 2024.

2.  M. Nopparatmaitree*, N. Kongsabai, Y. Sukkee, S. Chotnipat, Y. Pootaeng-on, A. Thongnum, J. Glinubon, C. Arkaphati, and O. Chaowalit, “Application of Spectrophotometer and Photocolorimetric Method from Mobile Phone for Soybean Meal Rawness Measurement,” King Mongkut’s Agr. J., vol. 41, no. 2, pp. 152–161, 2023.

3.  M. Nopparatmaitree*, P. Wongwean, P. Riab-Roi, S. Chotnipat, Y. Pootaeng-On, J. Glinubon, W. Srakaew, C. Arkaphati, and O. Chaowalit, “Development of Technique for Measuring Non Protein Nitrogen in Soybean Meal by Spectrophotometer and Photocolorimetric Methodology,” Khon Kaen Agric. J., vol. 51, suppl. 1, pp. 31–39, May 2023.

4. M. Nopparatmaitree*, O. Chaowalit, C. Arkaphati, and P. Suvarnaphaet, “The Evaluation of Practical Learning Instruction Management and Student Satisfaction with the Photocolorimetric Methodology Platform for Measuring Egg Yolk Color during the COVID-19 Pandemic Situation,” Khon Kaen Agric. J., vol. 51, suppl. 1, pp. 296–303, May 2023.

5. M. Nopparatmaitree*, P. Monthirat, S. Chotnipat, B. Vittayaphathananurak Raksasiri, J. Glinubon, C. Arkaphati, and O. Chaowalit, “การพัฒนาวิธีการวัดสีของภาพถ่ายสำหรับประเมินสีไข่แดงของไก่ไข่เพื่อเป็นแพลตฟอร์มการเรียนรู้ในช่วงสถานการณ์การระบาดโควิด-19,” Khon Kaen Agric. J., vol. 50, no. 1, pp. 62–75, Jan.–Feb. 2022, doi: 10.14456/kaj.2022.6.

6. M. Nopparatmaitree, S. Sritulanond, S. Khunkhao, N. Konchan, A. Srapothong, S. Chotnipat, B. Vittayaphathananurak Raksasiri, J. Glinubon, C. Arkaphati, and O. Chaowalit, “The Photocolorimetric Methodology as an Alternative Tool for Chicken Meat Color Assessment,” J. Mahanakorn Vet. Med., vol. 16, no. 1, pp. 147–158, Jan.–Jun. 2021.

7. O. Chaowalit, S. Natthawut, and S. Adulkasem, “SQL Command Checking System,” Veridian E-J. Sci. Technol. Silpakorn Univ., vol. 4, no. 6, pp. 88–99, Nov.–Dec. 2017.

8. S. Adulkasem, P. Sunthornrat, P. Jaimah, and O. Chaowalit, “การออกแบบต้นแบบส่วนติดต่อกับผู้ใช้แบบกราฟิกส์สำหรับการบันทึกเวชระเบียนอิเลกทรอนิกส์,” Veridian E-J. Sci. Technol. Silpakorn Univ., vol. 3, no. 2, pp. 1–17, Mar.–Apr. 2016.

9. S. Adulkasem, R. Somboonngeun, O. Chaowalit, J. Preechasuk, and P. Panjapornpol, “System Prototype of Control and Management of Patients for Using a Service of Medical Equipment and Medical Laboratory: A Case Study of Nakhonpathom Hospital,” Veridian E-J. Sci. Technol. Silpakorn Univ., vol. 2, no. 1, pp. 89–100, Jan.–Jun. 2015.

10. S. Adulkasem, A. Suwanapech, N. Phongsai, and O. Chaowalit, “System Prototype of Control and Management Machine and Spare Part: A Case Study of Sugar Manufacturing Plant,” Veridian E-J. Sci. Technol. Silpakorn Univ., vol. 2, no. 2, Jul.–Dec. 2015.

11. O. Chaowalit, S. Adulkasem, P. Tantatsanawong, W. Pongsananurak, and P. Pipatkarn, “A Prototype of Data Transfer System for Patient Health Monitoring,” J. Ind. Technol., vol. 11, no. 3, pp. 27–41, Sep.–Dec. 2015.

12. S. Adulkasem, J. Preechasuk, O. Chaowalit, C. Jerajasil, and P. Pongpatanakitchot, “Keep Track and Trace Status of Graduate Student by Using Temporal Adaptive Graph,” Inf. Technol. J., vol. 7, no. 4, pp. 25–31, Jul.–Dec. 2011.

Proceeding ภาษาไทย รวมทั้งนักศึกษาปริญญาตรี และบัญฑิตศึกษา

1. S. Laksanakoson and O. Chaowalit, “The Development of Location-Based Learning Model: A Case Study of Religious Sites in Sathorn,” in Proc. 12th National Graduate Conference, Silpakorn University, Nakhon Pathom, Thailand, Jun. 23–24, 2022.

2. C. Promthao, T. Suttasom, M. Nopparatmaitree, and O. Chaowalit, “Determining Egg Yolk Color from Photo with Multiple Linear Regression,” in Proc. 10th Asian Undergraduate Computer Conference (AUCC2022), pp. 144–154, Kasetsart Univ. Sriracha Campus, Chonburi, Thailand, Feb. 24, 2022.

3. C. Promthao, T. Suttasom, M. Nopparatmaitree, and O. Chaowalit, “Application of Determining Egg Yolk Color from Photo with Multiple Linear Regression,” in Proc. 10th Asian Undergraduate Computer Conference (AUCC2022), pp. 2471–2472, Kasetsart Univ. Sriracha Campus, Chonburi, Thailand, Feb. 24, 2022.

4. C. Paweenwitayaroj, P. Sinphu, K. Sitthisanguan, S. Arampongsanuwat, and O. Chaowalit, “Application for Closet Management and Daily Outfit Selection,” in Proc. 9th AUCC, pp. 1247–1256, Rajamangala Univ. of Technology Rattanakosin, Bangkok, Thailand, Feb. 25, 2021.

5. J. Thamwarakorn, J. Chantanaphap, and O. Chaowalit, “Durian Species Identification System Using Decision Tree Algorithm,” in Proc. 9th AUCC, pp. 2530–2538, Rajamangala Univ. of Technology Rattanakosin, Bangkok, Thailand, Feb. 25, 2021.

6. O. Wachirapongpaiboon, W. Suphaporn, and O. Chaowalit, “Elderly Exercise Posture Detection and Evaluation System,” in Proc. 9th AUCC, pp. 1467–1476, Rajamangala Univ. of Technology Rattanakosin, Bangkok, Thailand, Feb. 25, 2021.

7. K. Boontham, O. Chaowalit, S. Arampongsanuwat, and K. Sitthisanguan, “Game-Based Learning for Preschoolers with Adaptive Augmented Reality Technology,” in Proc. 9th AUCC, pp. 2700–2709, Rajamangala Univ. of Technology Rattanakosin, Bangkok, Thailand, Feb. 25, 2021.

8. P. Petchma and O. Chaowalit, “Using Polyglot Technology in E-Commerce: A Case Study of Organic Vegetable Sales,” in Proc. 8th AUCC, pp. 1362–1367, Suan Dusit Univ., Bangkok, Thailand, Feb. 14–16, 2020.

9. S. Lertpan, O. Wachirapongpaiboon, and O. Chaowalit, “Heat Detection Alert System in Cattle,” in Proc. 8th AUCC, pp. 301–306, Suan Dusit Univ., Bangkok, Thailand, Feb. 14–16, 2020.

10. J. Chaweerat and O. Chaowalit, “English Vocabulary Learning App for Children,” in Proc. 8th AUCC, pp. 103–109, Suan Dusit Univ., Bangkok, Thailand, Feb. 14–16, 2020.

11. K. Setsitthichok, K. Jongphra, and O. Chaowalit, “Mushroom Type Classification App from Images,” in Proc. 7th AUCC, pp. 226–260, Chiang Rai Rajabhat Univ., Chiang Rai, Thailand, Mar. 22–24, 2019.

12. [12] L. Upaisilpsthaphon and O. Chaowalit, “Prototype App for Perfume Scent Recommendation Based on Personality,” in Proc. 7th AUCC, pp. 1141–1144, Chiang Rai Rajabhat Univ., Chiang Rai, Thailand, Mar. 22–24, 2019.

13.  K. Paophang, L. Panitphongsri, and O. Chaowalit, “Application for Stroke Risk Detection,” in Proc. 7th AUCC, pp. 1153–1160, Chiang Rai Rajabhat Univ., Chiang Rai, Thailand, Mar. 22–24, 2019.

14.  A. Deboon, P. Sinphu, O. Chaowalit, and O. Sukawanli, “Emergency Referral Notification System for Elderly Patients,” in Proc. 7th AUCC, pp. 1380–1386, Chiang Rai Rajabhat Univ., Chiang Rai, Thailand, Mar. 22–24, 2019.

15.  P. Watjanapron, P. Khantitan, and O. Chaowalit, “Mobile App Prototype for Learning and Visiting Ancient Monuments,” in Proc. 6th AUCC, pp. 131–137, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand, Mar. 23–25, 2018.

16. K. Sitthisanguan and O. Chaowalit, “AR-Based Navigation System for Rattanakosin Island Tourism,” in Proc. 8th Nat. Conf. on Computing and Information Technology (NCCIT), pp. 346–350, Krabi, Thailand, Oct. 26–27, 2016.

17. O. Chaowalit, S. Arampongsanuwat, N. Thetsrimuang, and J. Chanpat, “Cosmetic Reviews Summarization from Thai Web Board,” in Proc. 12th Nat. Conf. on Computing and Information Technology (NCCIT), Khon Kaen, Thailand, Jul. 7–8, 2016, pp. 39.

18. S. Yingnaikiad, S. Theetanapat, S. Adulkasem, J. Preechasuk, and O. Chaowalit, “Decision Support System for Accepting Furniture Production Based on Decision Tree,” in Proc. 8th NCCIT, Bangkok, Thailand, May 9–10, 2012, pp. 827–833.

19. S. Adulkasem, J. Preechasuk, O. Chaowalit, C. Jerajasil, and P. Pongpatanakitchot, “Keep Track and Trace Status of Graduate Student by Using Temporal Adaptive Graph,” in Proc. 7th NCCIT, Bangkok, Thailand, May 11–12, 2011, pp. 242–246. (Best Paper Award)

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