Asst.Prof.Dr. THAWEESAK YINGTHAWORNSUK

Work Affiliations

Strategic Research Themes

Publications

  

  

  

1 of 3

  

  

  

• ● A Study of Deep Learning Models for Identifying and Estimating Psychological Stress and Disorders Us Electroencephalogram Signals; R. S. Lakshmi Balaji, M. Batumalay, Thaweesak Yingthawornsuk, et al.; 2025; Conference proceedings article
• ● Comparative Analysis of Deep Learning and Machine Learning Approaches for Air Quality Prediction; Suwijak Jirapattarasakul, Sumetee Jirapattarasakul, Sirinya Thanyacharoen, et al.; 2025; Conference proceedings article
• ● Deep Learning Approaches to Banana Ripeness Detection; Sirinya Thanyacharoen, Sumetee Jirapattarasakul, Napat Joijinda, et al.; 2025; Conference proceedings article
• ● Deep Learning based Classification of Depression and Suicidal Risk Among Normal Speakers using Delta-Spectral Cepstral Coefficients; Pavat Ruckchopsanti, Nattarika Ngearnsajja, Pawat Isaraporn, et al.; 2025; Conference proceedings article
• ● Deep Learning-Based Predictive Modeling for Male Depression Detection; R. S. Lakshmi Balaji, Sumetee Jirapattarasakul, Kantapat Kwansomkid, et al.; 2025; Journal article
• ● Intelligent Flagged Content Detection with Transformer-Based Models for Secure Online Environments; R. S. Lakshmi Balaji, G. Abirami, Sirimonpak Suwannakhun, et al.; 2025; Conference proceedings article
• ● Sleep Stages Classification with Multi-modal Signals using Deep Learning; Kantapat Kwansomkid, Cheikh Brahim El Vaigh, Thaweesak Yingthawornsuk, et al.; 2025; Conference proceedings article
• ● Algorithm Classifying Depressed Patients’ Speech Samples Using Deep Learning; กันตพัฒน์ ขวัญสมคิด, หทัยชนก พันธ์แก้ว, ทวีศักดิ์ ยิ่งถาวรสุข, et al.; 2024; Conference proceedings article
• ● Classifying the Ripeness of Mangoes Using Image Processing and Deep Learning; Sumetee Jirapattarasakul, Sirinya Thanyacharoen, Giuseppe Riccardo Leone, et al.; 2024; Conference proceedings article
• ● Data Analytics and Machine Learning Approach for Tsunami Prediction from Satellite and Hydrographic Data; R. S. Lakshmi Balaji, N. Duraimuthuarasan, Thaweesak Yingthawornsuk; 2024; Conference proceedings article
• ● Deep Learning-Based Predictive Modeling for Assessment of Depression in Male Speakers; Hugo Goncalves, Thaweewong Akkaralaertsest, Thaweesak Yingthawornsuk; 2024; Conference proceedings article
• ● Deep Learning-Based Predictive Modeling for Male Depression Detection; Sumetee Jirapattarasakul, Kantapat Kwansomkid,Sirimonpak Suwannakhun, et al.; 2024; Conference proceedings article
• ● Empirical Evaluation of Machine Learning Techniques for Autism Spectrum Disorder; Akshit Sethi; Kainat Khan; Rahul Katarya; Thaweesak Yingthawornsuk; 2024; Conference proceedings article
• ● IoT Communication for the Health Facilities and Sensors; Yuelei Pan, Pawat Isaraporn, Thaweewong Akkaralaertsest, et al.; 2024; Conference proceedings article
• ● Multimodal Sentiment Analysis using Late Fusion LSTM; Pranesh Nur, Kainat Khan, Rahul Katarya, et al.; 2024; Conference proceedings article
• ● Precision Tsunami Prognostication: A Machine Learning Expedition for Predictive Accuracy; R. S. Lakshmi Balaji, T. Akkaralaertses, N. Duraimuthuarasan, et al.; 2024; Conference proceedings article
• ● Algorithm Classifying Depressed Patients’Speech Samples Using Deep Learning; Kantapat Kwansomkid,Hataichanok Pankaew,Thaweesak Yingthawornsuk; 2023; Conference proceedings article
• ● A Review on Inverse kinematics Solution of Robotic Arm Movement; Gurjeet Singh, Vijay Kumar Banga, Thaweesak Yingthawornsuk; 2023; Conference proceedings article
• ● Comparing Machine Learning Feature Selection Methods for Dementia Anatomical Brain MRI; Ankur Sharma,Dr.Sumit Chopra,Dr. V.K. Banga, et al.; 2023; Conference proceedings article
• ● Interactive Game Based Self-study Package on First Aid Procedure Training
  ; Thaweesak Yingthawornsuk, S. Janseetong, N. Chanpiwat and S. Phongkasetkam ; 2023; Conference proceedings article

Expertise