A B C D E F G H I J K L M N P R S T U V W Y Z
| Author | Session | Start page | Title |
|---|---|---|---|
| A A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Aiikulola, Olalekan | S6.7 | OntoDeep: Ontology-Guided Hybrid Deep Learning for Intelligent Pest Detection in Mango Orchards | |
| Anucul, Boonjira | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Arampongsanuwat, Saowalak | S7.4 | A Hybrid Data Cleansing Pipeline and Prototype-Based Verification for Migrating Legacy Student Registration Data | |
| Archevapanich, Tuanjai | O1.6 | DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques | |
| Areerak, Tidarut | S4.4 | A Comparative Study of Queueing Theory and Machine Learning for Waiting Time Prediction in Hospital Emergency Departments | |
| Atsawaraungsuk, Sarutte | O2.3 | Image-Based Diagnosis of Durian Leaf Diseases Using VGG16 and Convolutional Neural Networks | |
| B A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Benjangkaprasert, Chawalit | O1.6 | DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques | |
| Boonmunewai, Jirakit | S7.5 | Optimization Based Undersampling for Imbalanced Classification Using Whale Algorithms and Random Forest | |
| Boonyavattanavijit, Supada | S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | |
| Boonyopakorn, Pongsarun | S4.5 | Data-Driven Decision Support for Durian Cultivation and Complementary Crop Planning | |
| S9.3 | Designing a Conceptual Framework to Identify Farmer Behavioral Factors Affecting the Influence of Precision Agriculture Technology in Thailand | ||
| S9.4 | An Integrated LoRa-Enabled IoT Sensing System for Precision Agriculture: Design Algorithm and Practical Evaluation | ||
| S10.7 | IoT-Based Health Surveillance System for Bedridden Patients in Home and Clinical Environments | ||
| S10.6 | ThreatSense-AI: Adaptive Cyber Threat Analysis and Response System | ||
| S8.6 | Intelligent Web Defacement Monitoring and Early Warning System | ||
| Buakanok, Sarawut | S1.8 | Point Upsampling-Based Semantic Layout Generation for ControlNet-Guided Synthetic Driving Scenes in Autonomous Driving | |
| Bundasak, Supaporn | S5.8 | Neurography Pain Analysis: Brain Waves in Acupuncture Procedure | |
| Bussaban, Limpapat | S2.2 | High-Impact Feature-Based Machine Learning Framework for Monthly Provincial Rice Yield Forecasting in Thailand | |
| S10.1 | Explainable Machine Learning for Crop Yield Prediction Using Large-Scale Agricultural Data | ||
| Bussabong, Zagon | O1.4 | Attention-ASTFF-Net: A Channel-Aware Adaptive Spatiotemporal Fusion Network for Vehicle Recognition | |
| Butaka, Kamonchanok | S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | |
| C A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Chanduayvit, Fern | S1.6 | Comparative Analysis of Tissue Segmentation on AFB Whole Slide Images: Classic Computer Vision vs. Machine Learning and Pre-Trained Deep Learning | |
| Chang, Cheng-Chun | S5.3 | Time and Frequency Synchronization by Collecting Multipath Channel Components Using PSS Under Large CFOs | |
| Chang, Chien-Kuo | S6.5 | A Multi-Sensor Platform for Wind Turbine Gearbox Oil Monitoring with MTF Feature Mapping and CNN-KNN Recognition | |
| Changchay, Supitcha | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Chantavirod, Piranun | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Chaowalit, Orawan | S7.3 | Smartphone Imaging and Deep Learning Fusion for Rapid Urease Activity Assessment in Soybean Meal | |
| S7.4 | A Hybrid Data Cleansing Pipeline and Prototype-Based Verification for Migrating Legacy Student Registration Data | ||
| Chaowalittawin, Vasutorn | O1.6 | DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques | |
| Chapradit, Nattapon | S6.1 | Automated Dehydration Assessment via Image Analysis Using YOLOv8 Deep Neural Networks | |
| Charoenrattana, Kittikan | S8.2 | Multi-Speaker Thai Speech Synthesis Using Transfer Learning | |
| Cheong, Jin | S1.1 | Slender_MobileNet: An Efficient Architecture for Sustainable Oil Palm Health Identification | |
| Chiangmai, Piyaporn Na | S11.6 | Development of a Meeting Process Model for the Executive Committee of the College of Arts, Media and Technology, Chiang Mai University Using Google Workspace | |
| Chimlek, Sutasinee | S1.8 | Point Upsampling-Based Semantic Layout Generation for ControlNet-Guided Synthetic Driving Scenes in Autonomous Driving | |
| S1.4 | Two-Stages Tooth Numbering Framework: Mask R-CNN Detection with Post-Processing Validation for Periodontitis Analysis | ||
| S1.6 | Comparative Analysis of Tissue Segmentation on AFB Whole Slide Images: Classic Computer Vision vs. Machine Learning and Pre-Trained Deep Learning | ||
| Chin, Wen-Long | S5.3 | Time and Frequency Synchronization by Collecting Multipath Channel Components Using PSS Under Large CFOs | |
| Chokphoemphun, Susama | S1.7 | Lightweight Convolutional Neural Network for Thai Herb Leaves Classification | |
| Chondamrongkul, Nacha | S10.4 | LLM-Driven Annotation: A Scalable Framework for Automated Multi-Label Coffee Flavor Classification | |
| Chongwat, Teerapong | O1.1 | Performance Evaluation of Monthly Electricity Demand Forecasting in Thailand Using Machine Learning and Statistical Models | |
| Chookamlang, Radthathammanoon | S3.8 | Enhancing Malware Detection Processing Time in the IaaS: A Case Study Using Volatility and LibVMI | |
| Chothanom, Anirut | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Chumuang, Narumol | S4.5 | Data-Driven Decision Support for Durian Cultivation and Complementary Crop Planning | |
| S9.4 | An Integrated LoRa-Enabled IoT Sensing System for Precision Agriculture: Design Algorithm and Practical Evaluation | ||
| S10.7 | IoT-Based Health Surveillance System for Bedridden Patients in Home and Clinical Environments | ||
| S10.6 | ThreatSense-AI: Adaptive Cyber Threat Analysis and Response System | ||
| S8.6 | Intelligent Web Defacement Monitoring and Early Warning System | ||
| Chun, Young Jin | S5.7 | SNR-Aware Clustered Wireless Federated Learning for Massive Crowdsensing via over-the-Air Computation | |
| Chungnoy, Kritanat | S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | |
| S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | ||
| S10.3 | Adaptive Knowledge Transfer via Confidence-Driven and Cross-Class Queen Bee Algorithm for Explainable Artificial Intelligence | ||
| Cobal, Rungthip | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| D A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Dao, Duy | S2.4 | Cross-Lingual Zero-Shot and Few-Shot Sentiment Classification for Railway Transportation Services | |
| S2.8 | A Data-Centric and Human-Guided Perspective on Aspect-Based Sentiment Analysis for Urban Rail Feedback | ||
| Deepho, Chutamas | S1.4 | Two-Stages Tooth Numbering Framework: Mask R-CNN Detection with Post-Processing Validation for Periodontitis Analysis | |
| Dejprapatsorn, Pimpika | S4.8 | A Hybrid Semantic Clustering Framework for Academic Abstracts Using SBERT and Metaheuristic-Optimized K-Means | |
| Duangmeun, Wassana | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Duangsai, Supasee | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Duangsuwan, Jarunee | S1.5 | Dugong-DeepTrack: A Deep Learning for Dugong Detection and Trajectory Extraction from UAV Video | |
| E A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Ehrman, Micah | S9.7 | Exploring the Balance: A Systematic Review of Proportional AI in Higher Education | |
| Emharuethai, Chanikan | S9.6 | Analysis of Global Asymptotic Stability for a Class of SVIR Models | |
| Emphan, Chirawat | S10.1 | Explainable Machine Learning for Crop Yield Prediction Using Large-Scale Agricultural Data | |
| Enkvetchakul, Prem | O2.2 | Optimal Learning Rate Schedules in Stochastic Gradient Descent Optimization for Plant Leaf Disease Recognition | |
| Ertugrul, Nesimi | S5.9 | High-Efficiency Dual-Cascade DC-DC Wide Bandgap Converters Architecture for Tsunami Monitoring | |
| Ewen, Lapudrada | O2.5 | Lean Management of the Pineapple Processing Community Enterprise Investment Industry System Marketing Finance | |
| F A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Falana, Edward | S5.9 | High-Efficiency Dual-Cascade DC-DC Wide Bandgap Converters Architecture for Tsunami Monitoring | |
| Feng, Po-Wei | S5.3 | Time and Frequency Synchronization by Collecting Multipath Channel Components Using PSS Under Large CFOs | |
| G A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Ganokratanaa, Thittaporn | S4.5 | Data-Driven Decision Support for Durian Cultivation and Complementary Crop Planning | |
| S9.4 | An Integrated LoRa-Enabled IoT Sensing System for Precision Agriculture: Design Algorithm and Practical Evaluation | ||
| S10.7 | IoT-Based Health Surveillance System for Bedridden Patients in Home and Clinical Environments | ||
| S10.6 | ThreatSense-AI: Adaptive Cyber Threat Analysis and Response System | ||
| S8.6 | Intelligent Web Defacement Monitoring and Early Warning System | ||
| Gonwirat, Sarayut | O2.2 | Optimal Learning Rate Schedules in Stochastic Gradient Descent Optimization for Plant Leaf Disease Recognition | |
| Gulatee, Yuwanuch | S9.7 | Exploring the Balance: A Systematic Review of Proportional AI in Higher Education | |
| S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | ||
| H A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Hanpinitsak, Panawit | S8.5 | Detection of Early Estrus in Dairy Cows via Milk Quality Assessment: A near-Infrared Milk Sensing System and Signal-Processing Pipeline with Machine Learning | |
| Hasodsong, Wasin | O2.3 | Image-Based Diagnosis of Durian Leaf Diseases Using VGG16 and Convolutional Neural Networks | |
| Hongma, Phumin | S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | |
| Hongma, Rawiworn | S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | |
| Hongwitayakorn, Apisake | S3.2 | Vision-Based Non-Intrusive Retrofitting for Heterogeneous Gauge Monitoring in Asphalt Production: Analog, Digital, and Level Indicators | |
| Horkaew, Paramate | S1.3 | Deep Learning and Error Correction Code-Based Robust Watermark Extraction from DWT-Chaotic Embedding | |
| Hu, Zhengdong | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Huang, Liang-Yin | S5.5 | A High-Gain DC-DC Boost Converter for Next-Generation Sustainable Power Systems | |
| I A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Injan, Panuphan | S10.1 | Explainable Machine Learning for Crop Yield Prediction Using Large-Scale Agricultural Data | |
| Inthasakubon, Purin | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Irawan, Bagus | S5.9 | High-Efficiency Dual-Cascade DC-DC Wide Bandgap Converters Architecture for Tsunami Monitoring | |
| J A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Jaisue, Pakdee | S4.8 | A Hybrid Semantic Clustering Framework for Academic Abstracts Using SBERT and Metaheuristic-Optimized K-Means | |
| S9.8 | Adaptive Multi-Metaheuristic Optimization Framework for Solving the Multi-Skill Load Assignment Problem | ||
| Jakkaew, Prasara | S10.4 | LLM-Driven Annotation: A Scalable Framework for Automated Multi-Label Coffee Flavor Classification | |
| Jakkraphatcharakul, Naphat | S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | |
| Janyoi, Pongsathon | S8.2 | Multi-Speaker Thai Speech Synthesis Using Transfer Learning | |
| Jareanpon, Chatklaw | S2.1 | An Optimized Soft Voting Ensemble for Binary and Multi-Class Heart Disease Diagnosis Under Class Imbalance | |
| Jarutan, Praetawan | O1.4 | Attention-ASTFF-Net: A Channel-Aware Adaptive Spatiotemporal Fusion Network for Vehicle Recognition | |
| Jewchiraphakorn, Tanakorn | S7.7 | Enhanced Lexical-Based Phishing Detection via Gradient Boosting Ensembles Under Imbalanced Data Conditions | |
| Jewrasumnuay, Phasathorn | S5.2 | Salivary Shotgun Metagenomics Identifies MRONJ-Associated Microbial Pathways and Bacterial Gene Variants for Biomarker Discovery | |
| Jintapitak, Manissaward | S8.4 | AI Augmented Mascot Design Workflow for Digital Learning Media with Collaborative Intelligence | |
| Jitsakul, Watchareewan | S4.3 | Intelligent Opinion Mining for Business Intelligence: A Comparative Study of CNN and RNN Models on Café Reviews in Thailand's Historical Tourist Destinations | |
| Joobanjong, Wanchana | S10.7 | IoT-Based Health Surveillance System for Bedridden Patients in Home and Clinical Environments | |
| S10.6 | ThreatSense-AI: Adaptive Cyber Threat Analysis and Response System | ||
| S9.3 | Designing a Conceptual Framework to Identify Farmer Behavioral Factors Affecting the Influence of Precision Agriculture Technology in Thailand | ||
| Juanchaiyaphum, Jatuphum | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Junlachaiworakun, Nattapon | O1.2 | Post-Quantum CRYSTALS-Kyber with Thai Text Seeds: Unicode Normalization and Performance Evaluation | |
| O1.3 | Performance Evaluation of CRYSTALS-Kyber on Raspberry Pi 5: A Comparative Study with RSA and EC-KEM | ||
| Juntarukka, Supakanya | S7.6 | Feature-Optimized Ensemble Learning for Efficient Keylogger Detection | |
| K A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Kaarj, Kattika | S3.6 | AI-Based Diagnosis of Cassava Bacterial Blight Using RGB Images and the VARI Vegetation Index | |
| Kaenampornpan, Manasawee | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Kalapukdee, Ponkasam | O1.5 | Multimodal Violence Detection in Movies Using Audio-Visual Fusion with Multi-Head Attention | |
| Kampeerapaappat, Poorivat | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Kangnoi, Samakan | S9.2 | Multimodal Interaction Design for Accessible Gameplay: A Study of Visual and Haptic Substitution for Deaf and Hard-of-Hearing Players | |
| Kannikaklang, Nikorn | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | ||
| Kanraweekultana, Natratanon | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Katanyukul, Tatpong | S8.5 | Detection of Early Estrus in Dairy Cows via Milk Quality Assessment: A near-Infrared Milk Sensing System and Signal-Processing Pipeline with Machine Learning | |
| Keawkerd, Phatthira | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Keratipasuwat, Thanwarat | S10.3 | Adaptive Knowledge Transfer via Confidence-Driven and Cross-Class Queen Bee Algorithm for Explainable Artificial Intelligence | |
| Ketcham, Mahasak | S4.5 | Data-Driven Decision Support for Durian Cultivation and Complementary Crop Planning | |
| S9.3 | Designing a Conceptual Framework to Identify Farmer Behavioral Factors Affecting the Influence of Precision Agriculture Technology in Thailand | ||
| Ketcham, Mahasak | S9.4 | An Integrated LoRa-Enabled IoT Sensing System for Precision Agriculture: Design Algorithm and Practical Evaluation | |
| Ketcham, Mahasak | S10.7 | IoT-Based Health Surveillance System for Bedridden Patients in Home and Clinical Environments | |
| S10.6 | ThreatSense-AI: Adaptive Cyber Threat Analysis and Response System | ||
| S8.6 | Intelligent Web Defacement Monitoring and Early Warning System | ||
| Khamboonrueang, Dusadee | O2.4 | Detecting Size Defect on Nam Dok Mai Golden Mango Surface with Connected-Component Labeling and Machine Learning Algorithms | |
| Khamket, Thananchai | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Khemapech, Ittipong | S6.4 | Real-Time Frailty Detection for Elderly Care in Indoor Environments | |
| Khiaolee, Rathabod | S3.8 | Enhancing Malware Detection Processing Time in the IaaS: A Case Study Using Volatility and LibVMI | |
| Khruahong, Sanya | S2.2 | High-Impact Feature-Based Machine Learning Framework for Monthly Provincial Rice Yield Forecasting in Thailand | |
| S10.1 | Explainable Machine Learning for Crop Yield Prediction Using Large-Scale Agricultural Data | ||
| Khunkitti, Pirat | S5.4 | Design Point Selection for Flux Switching Permanent Magnet Machine | |
| Kittikhunngam, Sukanya | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Kongkachandra, Rachada | S10.3 | Adaptive Knowledge Transfer via Confidence-Driven and Cross-Class Queen Bee Algorithm for Explainable Artificial Intelligence | |
| S10.2 | KNBU: A k-Nearest Neighbor Borderline Undersampling Method for Effective Classification in Highly Imbalanced Data | ||
| Kosolsombat, Somkiat | S3.3 | A Comparative Study of Machine Learning Models for Insurance Fraud Detection Using Structured Claim Data | |
| S3.5 | A Zero-Dwell-Time Active Defense Framework for MitM Attack Mitigation Using Edge-Based Machine Learning and Deceptor-in-the-Middle Redirection | ||
| S7.6 | Feature-Optimized Ensemble Learning for Efficient Keylogger Detection | ||
| S7.7 | Enhanced Lexical-Based Phishing Detection via Gradient Boosting Ensembles Under Imbalanced Data Conditions | ||
| Krungseanmuang, Woranidtha | O1.6 | DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques | |
| Kuiyarat, Panisara | S3.5 | A Zero-Dwell-Time Active Defense Framework for MitM Attack Mitigation Using Edge-Based Machine Learning and Deceptor-in-the-Middle Redirection | |
| Kulworatit, Chaichana | S2.6 | Aware of Unseen Computerized Attacks Through Resilient-Enhanced Open-Set Circumstance-Adaptive Learning | |
| S2.5 | Dual Contrastive Learning-Based Interpreter with Fine-Grained Retrieval Knowledge | ||
| S7.1 | Synthetic Data Augmentation for Enhanced Pill Detection and Counting in Real-World Scenarios | ||
| Kumyaito, Nattapon | S2.2 | High-Impact Feature-Based Machine Learning Framework for Monthly Provincial Rice Yield Forecasting in Thailand | |
| L A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Laohapattanalert, Narisara | S11.2 | Analyzing Institutional Partnership Trends: A Quantitative Study of MOUs at the College of Arts, Media and Technology, Chiang Mai University | |
| Laon, Popphon | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Lertprasertphakorn, Krichpapath | O2.1 | Minimal Skill-Coverage Course Recommendation for Career Preparation Using LLM-Extracted Skill Sets | |
| Liewlom, Peera | S6.3 | Deep Convolutional Neural Networks for Automated Identification of Thai Paddy Rice Varieties | |
| S7.8 | Behavioral-Based Ransomware Detection in Cloud Computing Using Explainable Machine Learning for Security Assurance | ||
| Liewlom, Surasawadee | S6.3 | Deep Convolutional Neural Networks for Automated Identification of Thai Paddy Rice Varieties | |
| Lin, Chang-Hua | S5.5 | A High-Gain DC-DC Boost Converter for Next-Generation Sustainable Power Systems | |
| Lin, HsuanYang | S5.3 | Time and Frequency Synchronization by Collecting Multipath Channel Components Using PSS Under Large CFOs | |
| Liu, Hwa-Dong | S5.5 | A High-Gain DC-DC Boost Converter for Next-Generation Sustainable Power Systems | |
| S6.5 | A Multi-Sensor Platform for Wind Turbine Gearbox Oil Monitoring with MTF Feature Mapping and CNN-KNN Recognition | ||
| Lu, Shiue-Der | S5.5 | A High-Gain DC-DC Boost Converter for Next-Generation Sustainable Power Systems | |
| S6.5 | A Multi-Sensor Platform for Wind Turbine Gearbox Oil Monitoring with MTF Feature Mapping and CNN-KNN Recognition | ||
| Luangrungruang, Tidarat | S7.2 | Boosting-Based Power Consumption Forecasting with Advanced Feature Engineering and Metaheuristic Optimization | |
| Luangwiriya, Taweewat | S3.3 | A Comparative Study of Machine Learning Models for Insurance Fraud Detection Using Structured Claim Data | |
| S3.5 | A Zero-Dwell-Time Active Defense Framework for MitM Attack Mitigation Using Edge-Based Machine Learning and Deceptor-in-the-Middle Redirection | ||
| Luaphol, Bancha | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| M A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Massagram, Wansuree | S1.6 | Comparative Analysis of Tissue Segmentation on AFB Whole Slide Images: Classic Computer Vision vs. Machine Learning and Pre-Trained Deep Learning | |
| Meemuk, Nathaphan | S4.3 | Intelligent Opinion Mining for Business Intelligence: A Comparative Study of CNN and RNN Models on Café Reviews in Thailand's Historical Tourist Destinations | |
| Muangnak, Nittaya | S6.1 | Automated Dehydration Assessment via Image Analysis Using YOLOv8 Deep Neural Networks | |
| Mungklachaiya, Sujitranan | S3.7 | An Attention-Enhanced Family-Wise Ensemble Framework for Natural Attraction Scene Classification | |
| Munlin, Mudarmeen | S1.2 | Vision-to-Grasp: Adaptive Robotic Grasping of Apples Using Deep Learning and Physics-Based Simulation | |
| N A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Nadee, Wanvimol | S9.6 | Analysis of Global Asymptotic Stability for a Class of SVIR Models | |
| Nakpomchin, Supakit | O2.7 | Comparative Performance Analysis of Specification-Driven Laravel Development | |
| Namee, Khanista | S2.4 | Cross-Lingual Zero-Shot and Few-Shot Sentiment Classification for Railway Transportation Services | |
| S2.8 | A Data-Centric and Human-Guided Perspective on Aspect-Based Sentiment Analysis for Urban Rail Feedback | ||
| Nawaratana, Natakon | S2.7 | Machine Learning Framework for Double Generalized Additive Model | |
| Neawsuphap, Nuttida | S3.3 | A Comparative Study of Machine Learning Models for Insurance Fraud Detection Using Structured Claim Data | |
| Netchaleerat, Thanakrit | S3.1 | Feature Selection for Neural-Network Classifiers via Genetic Algorithms: Baseline-Equivalent Accuracy and Grad-CAM++ Saliency | |
| Ngamprapasom, Thanaporn | S11.1 | Factors Affecting the Need for Intellectual Property Registration and Guidelines for Strengthening Protection: A Case Study of the College of Arts, Media and Technology, Chiang Mai University | |
| Notodiputro, Khairil | S2.9 | Analysis of Imputation Methods for Missing Not at Random (MNAR) Data: A Comparative Study of Air Pollution Data in Bangkok, Thailand | |
| P A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Paisarnsrisomsuk, Sarun | S4.6 | An Integer Linear Programming Model for Maximizing Preference Satisfaction in University Timetabling | |
| Pakdeetrakulwong, Udsanee | O2.6 | Prototype Development of an Automated Thai-Text Image-Based Identity Verification System Integrating Similarity-Matching Algorithms, Vision LLMs, MCP Tool-Enabled AI Agents and Explainable AI (XAI) | |
| O2.7 | Comparative Performance Analysis of Specification-Driven Laravel Development | ||
| Pakkalo, Panya | S3.6 | AI-Based Diagnosis of Cassava Bacterial Blight Using RGB Images and the VARI Vegetation Index | |
| Pakkatanang, Poramon | S6.8 | Multi-Aspect Assessment of Thai Hammered Dulcimer (Khim) Performance via Deep Learning and Signal Analysis | |
| Pangerd, Suratep | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Panit, Nirundon | O1.3 | Performance Evaluation of CRYSTALS-Kyber on Raspberry Pi 5: A Comparative Study with RSA and EC-KEM | |
| Panmekiate, Soontra | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Panomrengchai, Chakkri | S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | |
| Panrong, Raksita | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Panyasuphakul, Wannipa | S1.5 | Dugong-DeepTrack: A Deep Learning for Dugong Detection and Trajectory Extraction from UAV Video | |
| Panyavaraporn, Jantana | S1.3 | Deep Learning and Error Correction Code-Based Robust Watermark Extraction from DWT-Chaotic Embedding | |
| Panyawai, Janmanee | S1.5 | Dugong-DeepTrack: A Deep Learning for Dugong Detection and Trajectory Extraction from UAV Video | |
| Passadon, Prapassorn | S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | |
| Petchhan, Jirayu | S2.6 | Aware of Unseen Computerized Attacks Through Resilient-Enhanced Open-Set Circumstance-Adaptive Learning | |
| S2.5 | Dual Contrastive Learning-Based Interpreter with Fine-Grained Retrieval Knowledge | ||
| Phasukkit, Pattarapong | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Phatai, Gawalee | S7.2 | Boosting-Based Power Consumption Forecasting with Advanced Feature Engineering and Metaheuristic Optimization | |
| Phiphatkamtorn, Phanthawat | S1.4 | Two-Stages Tooth Numbering Framework: Mask R-CNN Detection with Post-Processing Validation for Periodontitis Analysis | |
| Phiphitphaisit, Sirawan | O1.4 | Attention-ASTFF-Net: A Channel-Aware Adaptive Spatiotemporal Fusion Network for Vehicle Recognition | |
| Phuphaphud, Arthit | S8.5 | Detection of Early Estrus in Dairy Cows via Milk Quality Assessment: A near-Infrared Milk Sensing System and Signal-Processing Pipeline with Machine Learning | |
| Pikulkaew, Kornprom | S3.4 | Beyond Accuracy: Deep Learning and Explainable AI for Trustworthy Sign Language Detection | |
| Pinchumpholsang, Weerawan | O2.5 | Lean Management of the Pineapple Processing Community Enterprise Investment Industry System Marketing Finance | |
| Pinthong, Thidarat | S4.5 | Data-Driven Decision Support for Durian Cultivation and Complementary Crop Planning | |
| Polpinij, Jantima | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| S2.8 | A Data-Centric and Human-Guided Perspective on Aspect-Based Sentiment Analysis for Urban Rail Feedback | ||
| Polrob, Jakkrit | S7.5 | Optimization Based Undersampling for Imbalanced Classification Using Whale Algorithms and Random Forest | |
| Polsri, Jintana | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Pongnangchai, Wattana | S6.1 | Automated Dehydration Assessment via Image Analysis Using YOLOv8 Deep Neural Networks | |
| Pongphaw, Nitipon | S1.7 | Lightweight Convolutional Neural Network for Thai Herb Leaves Classification | |
| Pongpinigpinyo, Sunee | S10.5 | A Unified OCR-LSTM Pipeline for Personalized Running Performance Analysis and Forecasting | |
| Prasitnui, Kawisara | S10.5 | A Unified OCR-LSTM Pipeline for Personalized Running Performance Analysis and Forecasting | |
| Prempree, Kanoknate | S8.7 | The Influence of Information Security Management and Digital Intensity on Firm Performance in Thai Listed Company | |
| Promrat, Thawatchai | O2.4 | Detecting Size Defect on Nam Dok Mai Golden Mango Surface with Connected-Component Labeling and Machine Learning Algorithms | |
| Promrit, Nuttachot | S3.2 | Vision-Based Non-Intrusive Retrofitting for Heterogeneous Gauge Monitoring in Asphalt Production: Analog, Digital, and Level Indicators | |
| S6.8 | Multi-Aspect Assessment of Thai Hammered Dulcimer (Khim) Performance via Deep Learning and Signal Analysis | ||
| S8.3 | An Explainable Multi-Stage AI Agent for Thai Klonsupap (Klon 8) Quality Assessment | ||
| Pummiwattanarungrot, Puritad | S1.6 | Comparative Analysis of Tissue Segmentation on AFB Whole Slide Images: Classic Computer Vision vs. Machine Learning and Pre-Trained Deep Learning | |
| Punkong, Narong | O2.7 | Comparative Performance Analysis of Specification-Driven Laravel Development | |
| Purahong, Boonchana | O1.6 | DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques | |
| R A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Ratanavilisagul, Chiabwoot | S7.7 | Enhanced Lexical-Based Phishing Detection via Gradient Boosting Ensembles Under Imbalanced Data Conditions | |
| Rattanasiriwongwut, Montean | S9.3 | Designing a Conceptual Framework to Identify Farmer Behavioral Factors Affecting the Influence of Precision Agriculture Technology in Thailand | |
| Rodjanadid, Benjawan | S7.5 | Optimization Based Undersampling for Imbalanced Classification Using Whale Algorithms and Random Forest | |
| Rojarath, Artitayaporn | O1.1 | Performance Evaluation of Monthly Electricity Demand Forecasting in Thailand Using Machine Learning and Statistical Models | |
| O1.4 | Attention-ASTFF-Net: A Channel-Aware Adaptive Spatiotemporal Fusion Network for Vehicle Recognition | ||
| Rueangdech, Pattarapon | S7.1 | Synthetic Data Augmentation for Enhanced Pill Detection and Counting in Real-World Scenarios | |
| Rueangwaraphit, Natthaphon | S10.5 | A Unified OCR-LSTM Pipeline for Personalized Running Performance Analysis and Forecasting | |
| Rungnarai, Anek | S7.4 | A Hybrid Data Cleansing Pipeline and Prototype-Based Verification for Migrating Legacy Student Registration Data | |
| S A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Saartta, Kritsada | O2.4 | Detecting Size Defect on Nam Dok Mai Golden Mango Surface with Connected-Component Labeling and Machine Learning Algorithms | |
| Saeyang, Sattawat | S2.9 | Analysis of Imputation Methods for Missing Not at Random (MNAR) Data: A Comparative Study of Air Pollution Data in Bangkok, Thailand | |
| Saisudsawat, Kasidet | S1.6 | Comparative Analysis of Tissue Segmentation on AFB Whole Slide Images: Classic Computer Vision vs. Machine Learning and Pre-Trained Deep Learning | |
| Saksritawee, Theerasak | S1.5 | Dugong-DeepTrack: A Deep Learning for Dugong Detection and Trajectory Extraction from UAV Video | |
| Sakul, Nawapron | S3.8 | Enhancing Malware Detection Processing Time in the IaaS: A Case Study Using Volatility and LibVMI | |
| Sakunrasrisuay, Chinapat | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | ||
| S9.7 | Exploring the Balance: A Systematic Review of Proportional AI in Higher Education | ||
| Salaiwarakul, Anongporn | S3.7 | An Attention-Enhanced Family-Wise Ensemble Framework for Natural Attraction Scene Classification | |
| S1.9 | RobustHerbNet: A Multi-Source and Noise-Tolerant Deep Learning Approach for Herbal Image Classification | ||
| Sam-ang, Panu | S3.1 | Feature Selection for Neural-Network Classifiers via Genetic Algorithms: Baseline-Equivalent Accuracy and Grad-CAM++ Saliency | |
| Sanchan, Nattapong | S8.8 | Thai Online Debate System: A Platform for Collecting Annotated Debate Data for NLP Research Communities | |
| Sanchana, Wiraiwan | S2.2 | High-Impact Feature-Based Machine Learning Framework for Monthly Provincial Rice Yield Forecasting in Thailand | |
| Sanchana, Wiraiwan | S1.9 | RobustHerbNet: A Multi-Source and Noise-Tolerant Deep Learning Approach for Herbal Image Classification | |
| S6.7 | OntoDeep: Ontology-Guided Hybrid Deep Learning for Intelligent Pest Detection in Mango Orchards | ||
| Sansrimahachai, Watsawee | S6.4 | Real-Time Frailty Detection for Elderly Care in Indoor Environments | |
| Sareeso, Yanin | S4.6 | An Integer Linear Programming Model for Maximizing Preference Satisfaction in University Timetabling | |
| Sathaporn, Posathip | O1.6 | DDoS Detection Framework Using Machine Learning Optimized by Bayesian and PSO Techniques | |
| Schulz, Eckart | S7.5 | Optimization Based Undersampling for Imbalanced Classification Using Whale Algorithms and Random Forest | |
| Seangwong, Pattasad | S5.4 | Design Point Selection for Flux Switching Permanent Magnet Machine | |
| Seekuka, Jitsaran | S7.8 | Behavioral-Based Ransomware Detection in Cloud Computing Using Explainable Machine Learning for Security Assurance | |
| S6.3 | Deep Convolutional Neural Networks for Automated Identification of Thai Paddy Rice Varieties | ||
| Seresangtakul, Pusadee | S8.2 | Multi-Speaker Thai Speech Synthesis Using Transfer Learning | |
| Sibunruang, Chumsak | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Singkhamfu, Shisa | S11.5 | Development of a Publication Management System for the College of Arts, Media and Technology, Chiang Mai University | |
| Singto, Passakorn | S8.7 | The Influence of Information Security Management and Digital Intensity on Firm Performance in Thai Listed Company | |
| Sitdhisanguan, Karanya | S9.2 | Multimodal Interaction Design for Accessible Gameplay: A Study of Visual and Haptic Substitution for Deaf and Hard-of-Hearing Players | |
| S9.5 | Risk-Aware Interaction and Multimodal Feedback Framework for High-Risk Electrical Simulation Training | ||
| Sittijuk, Pramote | S6.7 | OntoDeep: Ontology-Guided Hybrid Deep Learning for Intelligent Pest Detection in Mango Orchards | |
| Somrang, Jonglak | S11.3 | Development of an Automated Database System to Enhance the Efficiency of Tuition Fee Revenue and Collaborative Program Management (CAMT-Revenue) Case Study: College of Arts, Media and Technology | |
| Somsuk, Kritsanapong | O1.2 | Post-Quantum CRYSTALS-Kyber with Thai Text Seeds: Unicode Normalization and Performance Evaluation | |
| O1.3 | Performance Evaluation of CRYSTALS-Kyber on Raspberry Pi 5: A Comparative Study with RSA and EC-KEM | ||
| O2.3 | Image-Based Diagnosis of Durian Leaf Diseases Using VGG16 and Convolutional Neural Networks | ||
| Songmuang, Pokpong | S4.8 | A Hybrid Semantic Clustering Framework for Academic Abstracts Using SBERT and Metaheuristic-Optimized K-Means | |
| S10.2 | KNBU: A k-Nearest Neighbor Borderline Undersampling Method for Effective Classification in Highly Imbalanced Data | ||
| O2.1 | Minimal Skill-Coverage Course Recommendation for Career Preparation Using LLM-Extracted Skill Sets | ||
| S9.8 | Adaptive Multi-Metaheuristic Optimization Framework for Solving the Multi-Skill Load Assignment Problem | ||
| S10.3 | Adaptive Knowledge Transfer via Confidence-Driven and Cross-Class Queen Bee Algorithm for Explainable Artificial Intelligence | ||
| Songram, Panida | S6.1 | Automated Dehydration Assessment via Image Analysis Using YOLOv8 Deep Neural Networks | |
| Sonthipak, Withoon | S3.8 | Enhancing Malware Detection Processing Time in the IaaS: A Case Study Using Volatility and LibVMI | |
| Srinet, Somjai | O2.5 | Lean Management of the Pineapple Processing Community Enterprise Investment Industry System Marketing Finance | |
| Srirajun, Nattapatch | O2.6 | Prototype Development of an Automated Thai-Text Image-Based Identity Verification System Integrating Similarity-Matching Algorithms, Vision LLMs, MCP Tool-Enabled AI Agents and Explainable AI (XAI) | |
| Srisarakam, Kornraphat | S2.1 | An Optimized Soft Voting Ensemble for Binary and Multi-Class Heart Disease Diagnosis Under Class Imbalance | |
| Sritha, Karn | S2.4 | Cross-Lingual Zero-Shot and Few-Shot Sentiment Classification for Railway Transportation Services | |
| S2.8 | A Data-Centric and Human-Guided Perspective on Aspect-Based Sentiment Analysis for Urban Rail Feedback | ||
| Suchaiya, Sasithorn | S7.8 | Behavioral-Based Ransomware Detection in Cloud Computing Using Explainable Machine Learning for Security Assurance | |
| Suebsombut, Paweena | S10.4 | LLM-Driven Annotation: A Scalable Framework for Automated Multi-Label Coffee Flavor Classification | |
| Sukontaman, Monchida | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| Suksuchano, Sibsan | S9.5 | Risk-Aware Interaction and Multimodal Feedback Framework for High-Risk Electrical Simulation Training | |
| Suksuchano, Sumonmard | S9.5 | Risk-Aware Interaction and Multimodal Feedback Framework for High-Risk Electrical Simulation Training | |
| Sukthong, Napat | S4.7 | A Generative and Explainable Framework for Real-Time Geospatial Event Detection | |
| S9.1 | An Applied Generative GeoAI Framework for Multi-Event Smart City Monitoring Using Spatial-Temporal Data | ||
| Sunontanam, Nongnapat | S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | |
| Suntara, Chanon | S8.5 | Detection of Early Estrus in Dairy Cows via Milk Quality Assessment: A near-Infrared Milk Sensing System and Signal-Processing Pipeline with Machine Learning | |
| Surasin, Nattapon | S4.6 | An Integer Linear Programming Model for Maximizing Preference Satisfaction in University Timetabling | |
| Surinta, Olarik | S2.1 | An Optimized Soft Voting Ensemble for Binary and Multi-Class Heart Disease Diagnosis Under Class Imbalance | |
| O1.4 | Attention-ASTFF-Net: A Channel-Aware Adaptive Spatiotemporal Fusion Network for Vehicle Recognition | ||
| O2.2 | Optimal Learning Rate Schedules in Stochastic Gradient Descent Optimization for Plant Leaf Disease Recognition | ||
| Suriyasorn, Thanakrit | S8.1 | Development of a Mobile-Based Machine Learning Prototype for University Admission Suitability Prediction: A Case Study in an Information Technology Program | |
| Suriyawichitseranee, Amornrat | S2.7 | Machine Learning Framework for Double Generalized Additive Model | |
| Suthamno, Natthaphong | S6.6 | Topic-Modeling Guided Semantic Clustering for Enhancing CNN-Based Image Classification Using Scale-Invariant Feature Transform and Block Gabor Filtering | |
| Suwanwijit, Naruapon | O2.7 | Comparative Performance Analysis of Specification-Driven Laravel Development | |
| O2.6 | Prototype Development of an Automated Thai-Text Image-Based Identity Verification System Integrating Similarity-Matching Algorithms, Vision LLMs, MCP Tool-Enabled AI Agents and Explainable AI (XAI) | ||
| T A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Tachochalalai, Suphattana | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Takhom, Akkharawoot | S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | |
| Tamee, Kreangsak | S6.7 | OntoDeep: Ontology-Guided Hybrid Deep Learning for Intelligent Pest Detection in Mango Orchards | |
| Tan, Weng Chun | S1.1 | Slender_MobileNet: An Efficient Architecture for Sustainable Oil Palm Health Identification | |
| Tanantong, Tanatorn | S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | |
| S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | ||
| S10.3 | Adaptive Knowledge Transfer via Confidence-Driven and Cross-Class Queen Bee Algorithm for Explainable Artificial Intelligence | ||
| Tanthanuch, Jessada | S2.7 | Machine Learning Framework for Double Generalized Additive Model | |
| S7.5 | Optimization Based Undersampling for Imbalanced Classification Using Whale Algorithms and Random Forest | ||
| S6.6 | Topic-Modeling Guided Semantic Clustering for Enhancing CNN-Based Image Classification Using Scale-Invariant Feature Transform and Block Gabor Filtering | ||
| Tanusilp, Sora-at | S8.5 | Detection of Early Estrus in Dairy Cows via Milk Quality Assessment: A near-Infrared Milk Sensing System and Signal-Processing Pipeline with Machine Learning | |
| Tase, Visarut | S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | |
| Tawonkasemhatai, Chodchakorn | S11.4 | The Development of an Information System for Renewing Self-Borrowing Books with a Web-Based Application for Creativity and Learning Room, College of Art, Media and Technology, Chiang Mai University | |
| Tay, Lee | S1.1 | Slender_MobileNet: An Efficient Architecture for Sustainable Oil Palm Health Identification | |
| Thangthong, Thanawat | S9.8 | Adaptive Multi-Metaheuristic Optimization Framework for Solving the Multi-Skill Load Assignment Problem | |
| Thapatsuwan, Peeraya | S7.1 | Synthetic Data Augmentation for Enhanced Pill Detection and Counting in Real-World Scenarios | |
| Thapatsuwan, Warattapop | S7.1 | Synthetic Data Augmentation for Enhanced Pill Detection and Counting in Real-World Scenarios | |
| Thasnas, Natakorn | S6.1 | Automated Dehydration Assessment via Image Analysis Using YOLOv8 Deep Neural Networks | |
| Thuan, Dao Duy | S4.2 | HalluCVE: A Multi-Signal Benchmark for Hallucination Detection in LLM-Generated Cyber Threat Intelligence | |
| Titayanuwat, Kritsanapong | S7.1 | Synthetic Data Augmentation for Enhanced Pill Detection and Counting in Real-World Scenarios | |
| Toahchoodee, Manachai | S6.4 | Real-Time Frailty Detection for Elderly Care in Indoor Environments | |
| Tonmitr, Norrawit | S8.5 | Detection of Early Estrus in Dairy Cows via Milk Quality Assessment: A near-Infrared Milk Sensing System and Signal-Processing Pipeline with Machine Learning | |
| Trisiricharoen, Prach | S7.6 | Feature-Optimized Ensemble Learning for Efficient Keylogger Detection | |
| Tungthananithirath, Thanyaluck | S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | |
| Tuntiwong, Kuson | S5.6 | Beyond Radiation: Acoustic Emission as a Novel Non-Invasive Modality for Bone Quality Assessment with CBCT Correlation | |
| U A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Ubon, Kulthida | S8.3 | An Explainable Multi-Stage AI Agent for Thai Klonsupap (Klon 8) Quality Assessment | |
| Ueng, Fang-Biau | S5.1 | Efficiency Analysis for Multi-User RIS Assisted Active Beamforming Encoding | |
| UL-Munieeb, Mosaib | S5.5 | A High-Gain DC-DC Boost Converter for Next-Generation Sustainable Power Systems | |
| Umkhum, Jakkrit | S3.8 | Enhancing Malware Detection Processing Time in the IaaS: A Case Study Using Volatility and LibVMI | |
| Unankard, Sayan | S8.1 | Development of a Mobile-Based Machine Learning Prototype for University Admission Suitability Prediction: A Case Study in an Information Technology Program | |
| Uttha, Theeraya | S4.1 | An Empirical Study of Contrastive Representation Learning for Bug Dependency Classification | |
| Uypatchawong, Surasit | S4.8 | A Hybrid Semantic Clustering Framework for Academic Abstracts Using SBERT and Metaheuristic-Optimized K-Means | |
| S3.9 | A Machine Learning-Based Student Dropout Risk Prediction and Early Warning System | ||
| S9.8 | Adaptive Multi-Metaheuristic Optimization Framework for Solving the Multi-Skill Load Assignment Problem | ||
| O2.1 | Minimal Skill-Coverage Course Recommendation for Career Preparation Using LLM-Extracted Skill Sets | ||
| V A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Visessenee, Sirisak | S10.2 | KNBU: A k-Nearest Neighbor Borderline Undersampling Method for Effective Classification in Highly Imbalanced Data | |
| Visutsak, Porawat | O1.5 | Multimodal Violence Detection in Movies Using Audio-Visual Fusion with Multi-Head Attention | |
| Vongsumedh, Patravadee | S8.8 | Thai Online Debate System: A Platform for Collecting Annotated Debate Data for NLP Research Communities | |
| W A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Waijanya, Sajjaporn | S3.2 | Vision-Based Non-Intrusive Retrofitting for Heterogeneous Gauge Monitoring in Asphalt Production: Analog, Digital, and Level Indicators | |
| S8.3 | An Explainable Multi-Stage AI Agent for Thai Klonsupap (Klon 8) Quality Assessment | ||
| S6.8 | Multi-Aspect Assessment of Thai Hammered Dulcimer (Khim) Performance via Deep Learning and Signal Analysis | ||
| Wang, Cun-jia | S5.1 | Efficiency Analysis for Multi-User RIS Assisted Active Beamforming Encoding | |
| Wang, Zian | S1.2 | Vision-to-Grasp: Adaptive Robotic Grasping of Apples Using Deep Learning and Physics-Based Simulation | |
| Wanishsakpong, Wandee | S2.9 | Analysis of Imputation Methods for Missing Not at Random (MNAR) Data: A Comparative Study of Air Pollution Data in Bangkok, Thailand | |
| Wanwan, Xu | S1.2 | Vision-to-Grasp: Adaptive Robotic Grasping of Apples Using Deep Learning and Physics-Based Simulation | |
| Wee, Marcos | S1.1 | Slender_MobileNet: An Efficient Architecture for Sustainable Oil Palm Health Identification | |
| Weng Kin, Lai | S1.1 | Slender_MobileNet: An Efficient Architecture for Sustainable Oil Palm Health Identification | |
| Wiratchotisatian, Pitchaya | S4.6 | An Integer Linear Programming Model for Maximizing Preference Satisfaction in University Timetabling | |
| Wisitpreecha, Pichamon | S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | |
| S10.3 | Adaptive Knowledge Transfer via Confidence-Driven and Cross-Class Queen Bee Algorithm for Explainable Artificial Intelligence | ||
| Wittayawarawat, Thanawan | S4.9 | SkillBridge: A Skill Centric Career Pathway Recommendation System Integrating Knowledge Graphs and Natural Language Processing | |
| Wongmeekaew, Tanomsak | S6.3 | Deep Convolutional Neural Networks for Automated Identification of Thai Paddy Rice Varieties | |
| Wongthai, Winai | S3.8 | Enhancing Malware Detection Processing Time in the IaaS: A Case Study Using Volatility and LibVMI | |
| Y A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Yanuphrom, Jessadaporn | S2.3 | HGT4Rec: Hyperbolic Graph Transformer for Sequential and Social Recommendation | |
| Yimyam, Worawut | S9.4 | An Integrated LoRa-Enabled IoT Sensing System for Precision Agriculture: Design Algorithm and Practical Evaluation | |
| Yongyinghan, Peerawit | S4.4 | A Comparative Study of Queueing Theory and Machine Learning for Waiting Time Prediction in Hospital Emergency Departments | |
| Yuennan, Jim | S6.2 | An Efficient YOLO-Based Framework for Real-Time Rice Leaf Disease Detection and Segmentation | |
| Z A B C D E F G H I J K L M N P R S T U V W Y Z | |||
| Zhang, Zhi-Jia | S6.5 | A Multi-Sensor Platform for Wind Turbine Gearbox Oil Monitoring with MTF Feature Mapping and CNN-KNN Recognition | |