Computing (Computer Science; Computer Engineering) > Machine Learning and Intelligent Systems

All Items

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  A Data-Driven Framework for Diabetes Prediction: Machine Learning-Based Comparison of Invasive and Non-Invasive Screening

  Sasipatcha Hanmanop, Tatpol Jongsiri, Kittitat Waiprasit, Suejit Pechprasarn

  159
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  A Machine Learning Approach to Predicting Survival of Clinical AIDS Patients via Feature Selection Algorithms

  Suejit Pechprasarn, Punn Santichanyaphon, Rawisara Triyaprasertporn, Achiraya Asawarachan

  158
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  A Reinforcement Learning–Guided Hybrid NSGA-II + ALNS Framework for Large-Scale Capacitated Transportation Optimization in Thai Sugarcane Logistics

  Putis Wittayasin, Nuchsara Kriengkorakot, Preecha Kriengkorakot

  189
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  Accurate Air Quality Index Prediction Using MPRKDNN with Optimized Feature Selection

  Jiss Kuruvilla, V. Srividhya

  148
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  Advancing Breast Cancer Detection: A Comparison of PCA and LDA Methods in Analyzing Ultrasound Imagery

  Najeeb Saiyed, MVV Prasad Kantipudi

  125

• Comparative Study on Automated Reference Summary Generation using BERT Models and ROUGE Score Assessment

  Nattapong Sanchan

  Article 26
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  DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques

  Posathip Sathaporn, Woranidtha Krungseanmuang, Vasutorn Chaowalittawin, Chawalit Benjangkaprasert, Tuanjai Archevapanich, Boonchana Purahong

  204
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  Digital Workforce Matching: A Machine Learning Approach for Skill-Based Job Classification and Recommendation

  Paweena Chaiaroon, Nuttachot Promrit , Karanya Sitdhisanguan, Sajjaporn Waijanya, Natratanon Kanraweekultana

  137
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  Earthquake Early Warning Using Multi-Channels Echo State Extreme Learning Machine

  Phiphat Chomchit, Somrawee Aramkul, Yuthapong Somchit, Paskorn Champrasert

  139
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  Effect of Resampling Techniques on Machine Learning Models for Classifying Road Accident Severity in Thailand

  Teerawat Simmachan , Pichit Boonkrong

  99
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  Energy-Efficient Scheduling and Control of Aluminum Melting Processes Using Genetic Algorithms and Reinforcement Learning

  Kraiwitch Pawadee, Narongdech Keeratipranon

  205

• Identification of Important Factors in the Diagnosis of Breast Cancer Cells Using Machine Learning Models and Principal Component Analysis

  Suejit Pechprasarn, Ohmthong Wattanapermpool, Maninya Warunlawan, Pornchaya Homsud, Thumpussorn Akarajarasroj

  642-656
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  Interdisciplinary Research for Predictive Maintenance of MRI Machines Using Machine Learning

  Swapnali N Jagtap, Saiprasad Potharaju, Shanmuk Srinivas Amiripalli, Ravi Kumar Tirandasu, B J Jaidhan

  78
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  Mitigating Data Imbalance for Robust Diabetes Diagnosis Using Machine Learning and Explainable Artificial Intelligence

  Poorani K, Balakannan S P, Karuppasamy M

  111
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  Optimizing Chronic Kidney Disease Prediction: A Machine Learning Approach with Minimal Diagnostic Predictors

  Suejit Pechprasarn, Peeraya Wetchasit, Suphornthip Pongsuwan

  76

• Predicting Parkinson's Disease Severity using Telemonitoring Data and Machine Learning Models: A Principal Component Analysis-based Approach for Remote Healthcare Services during COVID-19 Pandemic

  Suejit Pechprasarn, Lalita Manavibool, Nanticha Supmool, Naravin Vechpanich, Phattranij Meepadung

  465-485

• Predictive Analysis of COVID-19 Epidemic in Thailand: Evaluating Control Lockdown Measures using LSTM Networks

  Rati Wongsathan, Isaravuth Seedadan

  Article 29