machine learning - Proceedings of RSU Research Conference

Index by: machine learning

List of articles:

	Page Number
RSU International Research Conference 2020 Automatic segmentation of polycystic kidneys from magnetic resonance images using a three-dimensional fully-convolutional network Jamie O'Reilly, Sakuntala Tanpradit, Tasawan Puttasakul, Manas Sangworasil, Takenobu Matsuura, Khaisang Chousangsuntorn, and Pornphan Wibulpolprasert	43-50
RSU International Research Conference 2021 on Science and Technology Application of Geospatial Machine Learning Model for Above Ground Biomass Estimation in Mangroves Forest Ting Ting Han and Poonperm Vardhanabindu	699-712
RSU International Research Conference 2021 on Social Science and Humanity, Education, Management, and Arts Comparison of Forecasting Models for Banking Stock: Multiple Linear Regression and Artificial Neural Network Pichit Boonkrong, Nithipa Arjrith, and Junwei Yang	425-434
RSU International Research Conference 2022 on Science and Technology Design of Predictive Model in Classifying Turbidity Using Data Mining Techniques Jonalyn Gaza Ebron , Andrei Gabriel V. Alvarez, and Miguel Mababangloob	522 - 537
RSU International Research Conference 2023 on Science and Technology Using Machine Learning Models And Principal Component Analysis To Identify Critical Diagnostic Variables For Breast Cancer Cells Suejit Pechprasarn, Ohmthong Wattanapermpool, Maninya Warunlawan, Pornchaya Homsud, and Thumpussorn Akarajarasroj	462
RSU International Research Conference 2023 on Science and Technology Using Telemonitoring Data And Machine Learning Models To Predict Parkinson’s Disease Severity For Remote Healthcare Services During The Covid-19 Epidemic Suejit Pechprasarn, Lalita Manavibool, Nanticha Supmool2, Naravin Vechpanich, and Phattranij Meepadung2	463
RSU International Research Conference 2024 on Science and Technology Systematic Review with Artificial Intelligence (SRAI): A Few-Shot Learning Framework for Efficient Article Screening in Systematic Reviews Phongphat Wiwatthanasetthakarn, Wanchana Ponthongmak, Panu Looareesuwan, Amarit Tansawet, Pawin Numthavaj, and Ammarin Thakkinstian	495-510
RSU International Research Conference 2024 on Science and Technology Detection of Diabetic Retinopathy Using Integrated Deep Learning with Image Processing Technique Preenon Bagchi, Rushikesh Jagtap, Shivprasad Ravate, and Shivali Harke	533-540
RSU International Research Conference 2024 on Science and Technology Employing Machine Learning Techniques and Feature Selection to Predict Chronic Kidney Disease and Highlight Critical Diagnostic Indicators Suejit Pechprasarn, Peeraya Wetchasit, and Suphornthip Pongsuwan	661
RSU International Research Conference 2024 on Science and Technology Forecasting Diabetes Using Feature Selection in Machine Learning Models to Identify Key Indicators Suejit Pechprasarn, Nichapa Srisaranon, and Panpatchanun Yimluean	662
RSU International Research Conference 2024 on Science and Technology Identification of Predictors Helping the Diagnosis of Lung Cancer Using Machine Learning Models and Feature Selection Methods Suejit Pechprasarn, Nichapha Suechoey, Nutchareeya Pholtrakoolwong, Pattaraporn Tanedvorapinyo, and Yanisa Toboonliang	663
RSU International Research Conference 2025 on Science and Technology Development of a Machine Learning Model for Predicting Survival Outcomes in AIDS Patients Using Feature Selection Techniques Suejit Pechprasarn, Punn Santichanyaphon, Rawisara Triyaprasertporn, and Achiraya Asawarachan	537
RSU International Research Conference 2025 on Science and Technology A Comprehensive Data-Driven Machine Learning Framework for Diabetes Prediction and Diagnosis Suejit Pechprasarn, Sasipatcha Hanmanop, Tatpol Jongsiri, and Kittitat Waiprasit	538
RSU International Research Conference 2025 on Science and Technology An Evaluation of Machine Learning Algorithms for Skin Disease and Cancer Detection: From Data Partitioning to Model Enhancement Suejit Pechprasarn, Sasithorn Tengjongdee, Manatsanan Khongtan, Chanapa Chaitan, and Kittitat Waiprasit	539
RSU International Research Conference 2025 on Social Science and Humanities, Education, and Management Implementing Artificial Intelligence, Create Digitized Environment To Automate Customer Service In Russian Financial Institutions Aleksandr Eduardovich Beznosov and Kanitsorn Terdpaopong	170-178
RSU International Research Conference 2025 on Social Science and Humanities, Education, and Management The Role of Machine Learning in Personalizing Media Streaming Platforms: Insights from Rangsit University Students Nang Zin Pwint Oo, Shoon Lai Yee Mon, Naw Thu Thu Han Than, Khin Thiri Myat, and Billel Arbaoui	361-371