Machine Learning

Description

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People

  

  

  

1 of 6

  

  

  

• BOONCHAROEN SIRINAOVAKUL
• CHAROENCHAI KHOMPATRAPORN
• CHUKIAT WORASUCHEEP
• DAWUD THONGTHA
• JONATHAN HOYIN CHAN

Publications

  

  

  

17 of 20

  

  

  

• ● Student Academic Performance Prediction using Machine Learning with Various Features and Scenarios; Nott Santiketa, Unhawa Ninrutsirikun, Suluk Chaikhan, et al.; 2024; Conference proceedings article
• ● Student Dropout Prediction: A KMUTT Case Study; enpipat, Warit; Akkarajitsakul, Khajonpong;; 2020; Conference proceedings article
• ● Synthetic Data for Scam Detection: Leveraging LLMs to Train Deep Learning Models; Pitipat Gumphusiri, and Tuul Triyason; 2024; Conference proceedings article
• ● Temporal Collage Prompting: A Cost-Effective Simulator-Based Driving Accident Video Recognition With GPT-4o; Pratch Suntichaikul, Pittawat Taveekitworachai, Chakarida Nukoolkit, et al.; 2024; Conference proceedings article
• ● Testing the Effectiveness of CNN and GNN and Exploring the Influence of Different Channels on Decoding Covert Speech from EEG Signals; Serena Liu and Jonathan H. Chan; 2021; Conference proceedings article

Projects