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References

International Journals

A list of international journal publications by Sanya Khruahong, highlighting work in machine learning, computer vision, sentiment analysis, and predictive analytics.

The entries below are presented in APA-style and arranged for clear web reading.
Some Thai-language works are shown with translated or summarized English titles so the citation format remains clear on the web page.
  1. Pramote, O.-U., Khruahong, S., Jitanan, S., & Kong, X. (2023). Quality grading of crown flowers using convolutional neural network and transfer learning. ICIC Express Letters, 17.
  2. Khruahong, S., & Tanawong, T. (2023). Developing the selection of Thai medical herb species for commercial cultivation using deep neural networks. ICIC Express Letters, 17(12), 1385-1393.
  3. Suwannapool, N., & Khruahong, S. (2024). Risk prediction of gastric cancer using decision tree J48. ICIC Express Letters, Part B: Applications, 15(5), 479-486.
  4. Rabruen, A., Pokkate, P., Surinta, O., & Khruahong, S. (2025). Sentiment analysis of Thai laborers’ perceptions of working abroad: A machine learning approach using YouTube comments. ICIC Express Letters, Part B: Applications, 16(3), 333-341.
  5. Boonchoo, C., Supansomboon, S., Pramote, O.-U., Surinta, O., & Khruahong, S. (2025). Prediction of stone types using convolutional neural networks technique. ICIC Express Letters, Part B: Applications, 16(3), 343-350.
  6. Sukprasert, A., Supachaiwat, J., & Khruahong, S. (2025). Modelling for forecasting the value of Thailand’s gems and jewelry exports to the United States using machine learning. ICIC Express Letters, Part B: Applications, 16(6), 599-608.
  7. Tanawong, T., & Khruahong, S. (2025). Classification of corn leaf diseases using convolutional neural networks. ICIC Express Letters, Part B: Applications, 16(10).
  8. Em-im, N., Asavasuthirakul, D., & Khruahong, S. (2025). Automating courtroom transcriptions with Google's Speech-to-Text API and error-correction algorithms. ICIC Express Letters, Part B: Applications, 16(10).
  9. Wongnim, C., Sa-ardmuang, B., & Khruahong, S. (2026). Diagnosis of mango leaf diseases using deep learning techniques. Current Applied Science and Technology, e0266103.