Time (Tokyo) Room: A (Main room no. 8-9) Room: B (No. 11) Room: C (No. 21) Virtual Conference

Monday, April 21
13:00-16:30 R1: Registration Days

Tuesday, April 22
09:00-09:10 K1: Opening ceremony by Assoc.Prof. Athikom Roeksabutr
09:10-09:50 K2: Keynote speaker by Prof. Dr.-Ing. Habil. Dr. h.c. Herwig Unger
10:00-12:00 S1: AI, ML, and Data Science S2: Computer Science for Daily Life S3: Software Engineering, Knowledge and Data Management V1: Computer Science for Daily Life
V3: AI in Daily Life
13:00-15:00 S4: AI, ML, and Data Science S5: Networks, Security, Embedded Systems, and Internet of Things (IoT) S6: Artificial Intelligence and Machine Learning V2: AI and Data Science (Thai track)
15:00-17:00 S7: AI and Machine Learning      

Monday, April 21

Monday, April 21 13:00 - 16:30

R1: Registration Days

Onsite
Room: A (Main room no. 8-9), Room: B (No. 11), Room: C (No. 21), Virtual Conference

Tuesday, April 22

Tuesday, April 22 9:00 - 9:10

K1: Opening ceremony by Assoc.Prof. Athikom Roeksabutr

Room: A (Main room no. 8-9), Room: B (No. 11), Room: C (No. 21), Virtual Conference

The official opening ceremony for AJCC2025 is scheduled for April 22, 2025, between 9:00 AM and 9:10 AM Tokyo Time. This brief but significant event will be led by Assoc. Prof. Athikom Roeksabutr, the esteemed President of the Electrical Engineering Academic Association (Thailand).

Tuesday, April 22 9:10 - 9:50

K2: Keynote speaker by Prof. Dr.-Ing. Habil. Dr. h.c. Herwig Unger

A brain-inspired approach to sequence learning
Room: A (Main room no. 8-9), Room: B (No. 11), Room: C (No. 21), Virtual Conference

This talk offers insights into cutting-edge research at the Chair of Communication Networks at FernUniversität in Hagen, focusing on advancements in brain-inspired methods and the development of GraphLearner, a neuromorphic sequence analyser and generator. Beginning with a review of previous research, including text-representing centroids and a decentralized search engine, we highlight the significance of brain-inspired approaches despite the success of conventional deep learning techniques.

Drawing from the works of Hawkins and others, we introduce the GraphLearner as a promising alternative to traditional "black box" models in deep neural networks. By employing Markov models and leveraging Bloom filters for efficient probability calculations, GraphLearner offers enhanced explainability and adaptability. The talk delves into the architecture and functioning of GraphLearner, showcasing its performance in natural language processing tasks. Additionally, we discuss potential extensions and applications of GraphLearner in diverse domains.

Tuesday, April 22 10:00 - 12:00

S1: AI, ML, and Data Science

Onsite
Room: A (Main room no. 8-9)
S1.1 10:00 DPCT: Disentangling Personal Style and Content for Chinese Handwriting Generation with Transformer
Chen-Kuo Chiang, Heng-Cheng Hsu and Cheng-Han Wang
S1.2 10:15 Exploring Fine-Tuning of BERT for End-to-End Thai Aspect-Based Sentiment Analysis
Pongsathon Janyoi, Warunya Wunnasri and Jakkrit Kaewyotha
S1.3 10:30 Low-Cost Multispectral Acquisition Device Coupled with Machine Learning for Detecting Adulteration of Honey
Ravipat Lapcharoensuk, Thayanont Lunvongsa, Wutthiphong Boodnon, Phanchay Suntisakoonwong and Agustami Sitorus
S1.4 10:45 Two-Step Textual Similarity-Based Approach for Predicting Suitable Production Line for a Newly Designed Product
Jantana Panyavaraporn, Paramate Horkaew and Chantra Nakvachiratrakul
S1.5 11:00 An Approach for Enhanced Decision-Making in Multi-Objective Maintenance Planning for Integrated Railway Systems
Sanyapong Petchrompo, Ajith Kumar Parlikad and Naruemon Wattanapongsakorn
S1.6 11:15 An Analysis of Customer Segmentation in Restaurant Business Using RFM Analysis and K-Means Clustering
Kamontorn Prompitak, Salang Musikasuwan and Kwankamon Dittakan
S1.7 11:30 Machine Learning Predictions for Mean-Absolute Deviation Optimization in Stock Portfolios
Benjawan Rodjanadid and Phetngam Koatborom
S1.8 11:45 Optimizing Firewall Log File Classification with Multilayer Perceptron Neural Networks
Artitayaporn Rojarath, Nantanee Srisaengchan, Saisunee Jabjone, Suda Tipprasert, Emmanuel Okafor and Olarik Surinta

Tuesday, April 22 10:00 - 12:00

S2: Computer Science for Daily Life

Onsite
Room: B (No. 11)
S2.1 10:00 A Mixed-Integer Linear Programming Approach for Efficient Operating Room Scheduling
Warisara Boontieaw, Wasin Padungwech and Sanyapong Petchrompo
S2.2 10:15 Integration of Image Processing and Machine Learning Technologies in an Automated Wastewater Detection System for the Electroplating Industry
Chi Han Chen, Jia-Chun Wu, Adam Lin and Rung-Shiang Cheng
S2.3 10:30 A Comparative Study on Electricity Consumption Predictive Models of Electronic Manufacturing in Thailand
Noppanan Kloysawat and Salang Musikasuwan
S2.4 10:45 Development of Generative Chatbot Towards Thai Rice Knowledge Using Retrieval-Augmented Generation
Yuttana Jaroenruen, Nattapong Kaewboonma, Taneth Ruangrajitpakorn and Jirapong Panawong
S2.5 11:00 Cybercrime Websites Report and Verification System Using Machine Learning Classification
Pheeraphat Prisan, Apichaya Maneewong, Chayakun Borattasuwan and Ittipon Rassameeroj
S2.6 11:15 Framework for Intent Knowledge Extraction in Product Review Analysis
Artitayaporn Rojarath, Worawith Sangkatip, Wararat Songpan, Emmanuel Okafor and Olarik Surinta
S2.7 11:30 Fungus Detection in Peanuts from Smart Lens Imagery Using Convolutional Neural Network
Jirawat Thaenthong and Kwankamon Dittakan
S2.8 11:45 BERT - Driven Course Analysis for Improved Academic Decision-Making
Vitthawin Khantichaimongkol, Surasit Uypatchawong, Kittanut Chungnoi and Pokpong Songmuang

Tuesday, April 22 10:00 - 12:00

S3: Software Engineering, Knowledge and Data Management

Onsite
Room: C (No. 21)
S3.1 10:00 A Comparative Study of Game-Based Learning and Collaborative Learning in Computer Programming: Impact on Motivation to Learn, Programming Skills, and Learning Achievement
Kannika Daungcharone and Krittawaya Thongkoo
S3.2 10:15 The Enhancing System Thinking and Teamwork Through LEGO® SERIOUS PLAY®: a Case Study in Knowledge and Innovation Management
Manissaward Jintapitak and Pitipong Yodmongkol
S3.3 10:30 User-Centric Design Thinking Framework for Digital Transformation: Bridging the Digital Literacy Gap in Thai Manufacturing SMEs
Somkeit Noamna, Porntida Kaewkamol and Jirapipat Thanyaphongphat
S3.4 10:45 Enhanced Natural Language Processing with an Ontology-Based Framework for a Criteria-Based Ethical Review System Prototype for Human Research Projects
Ekkawit Sittiwa, Pramote Sittijuk, Khaninnat Chotpornseema, Phasskorn Worra-arj, Wiraiwan Sanchana and Orasa Tetiwat
S3.5 11:00 Ubiquitous Collaborative Learning Applications: Driving Gender-Inclusive Success in Computer Education
Krittawaya Thongkoo and Kannika Daungcharone
S3.6 11:15 Higher Education and Generative AI (ChatGPT)
Yuwanuch Gulatee, Aphi Khamphroh, Phumin Hongma, Rawiworn Hongma and Watipa Unarat
S3.7 11:30 Implementing Levenshtein Edit Distance Algorithm in DNA Profiles Direct Matching
Phornvipa Werukanjana, Prush Sa-nga-ngam and Norapattra Permpool
S3.8 11:45 Monitoring and Predicting Chemical Testing of Water Types: LIMS System
Somsri Jarupadung, Wararat Jakawat, Soraya Singsaro and Putsadee Muhamad

Tuesday, April 22 10:00 - 12:00

V1: Computer Science for Daily Life

Online
Room: Virtual Conference
V1.1 10:00 Security Analysis and Mitigation Strategies for SSL Stripping and Keylogging Attacks: a Case Study of Thai Financial, Commercial, and Educational Web Platforms
Khathawut Chanbuala, Darunee Puangpronpitag, Egachai Puangpronpitag and Somnuk Puangpronpitag
V1.2 10:15 A Green and Unified Log Framework Incorporating Machine Learning and Multi-Objective Feature Selection
Pornpimon Boriwan and Thanathorn Phoka
V1.3 10:30 Determining Banana pH and Brix Values Using MobileNet Maturity Softmax Features and a Random Forest Predictor
Rong Phoophuangpairoj and Hong Chen
V1.4 10:45 Enhancing Sustainable Agriculture: Detection of Plant Leaf Diseases Using YOLO-Based Object Detection
Suksun Promboonruang, Thummarat Boonrod, Bancha Luaphol, Sayun Phansomboon, Udom Wongsupha, Anucha Puthikulsakhon, Patcharin Zatun, Chaiwat Hmokaew and Kamonwan Ratchatawetchakul
V1.5 11:00 Community Identity Through the Use of Isan Thong Towards 2D Media Design
Kamonwan Ratchatawetchakul, Yongyut Ratchatawetchakul, Suksun Promboonruang, Siri-orn Vongtavee, Thummarat Boonrod, Bancha Luaphol, Rachan Vongtavee, Patcharin Zatun and Montakarn Tummawat
V1.6 11:15 Evaluating Energy-Water Ratio Efficiency in Irrigation Area Agricultural Water Management
Phairoj Samutrak, Saichon Thongkam and Chinnakorn Jirakajornjaritkul
V1.7 11:30 Modeling to Measure the Diffusion Distance of Particulate Matter 2.5 from Combustion of Agricultural Areas
Ekkawit Sittiwa, Khaninnat Chotpornseema, Warachanan Choothong, Thiraphat Meesumrarn, Withoon Sonthipak and Krisda Khankasikam
V1.8 11:45 The Last Intensity for Optimization Thresholding and Automatic Detection of Specular Reflections
Thummarat Boonrod, Suksun Promboonruang, Chatklaw Jareanpon, Bancha Luaphol, Montakarn Tummawat and Kamonwan Ratchatawetchakul

Tuesday, April 22 10:00 - 12:00

V3: AI in Daily Life

Online
Room: Virtual Conference
V3.1 10:00 Enhancing the Audience Experience in Traditional Thai Long-Boat Racing Through Semi-Automated Competition Ranking for Streaming Technology (SACRS)
Thirachit Saenphon and Piyarat Silapasuphakornwong

Tuesday, April 22 13:00 - 15:00

S4: AI, ML, and Data Science

Onsite
Room: A (Main room no. 8-9)
S4.1 13:00 Sentiment Analysis of Product and Service Reviews: a Review Article on Techniques, Challenges, and Future Trends
Rachasee Rachasee, Artitayaporn Rojarath, Wararat Songpan and Olarik Surinta
S4.2 13:15 Area Assessment of Psoriasis Lesions Based on Image Augmentation: a Study on Utilizing Standard Skin Disease Datasets to Address the Lack of Thai Skin Images
Tanatorn Tanantong, Nawarerk Chalarak, Sumet Jirattisak, Krittakom Srijiranon and Kitiya Tanantong
S4.3 13:30 Enhancing BERT with High-Quality and Underrepresented Data for Improved Sentiment Analysis Accuracy
Chirawan Ronran, Manote Tonsing and Sayan Unankard
S4.4 13:45 Trend Analysis and Prediction of Maximum Temperature in Southern Thailand
Pawichaya Noppakhun, Rattikan Saelim and Salang Musikasuwan
S4.5 14:00 Using Machine Learning Techniques to Compare Classification Model Efficiency for Analyzing Library Usage Factors and Student Academic Performance
Orapan Khongmalai, Anyanitha Distanont, Natratanon Kanraweekultana and Thitima Thienanantakul
S4.6 14:15 Deep Learning-Based Cross-Domain Recommendation System for Matching Bakery Products with Appropriate Packaging
Apisake Hongwitayakorn, Sajjaporn Waijanya, Nuttachot Promrit and Undaman Nopnapaporn

Tuesday, April 22 13:00 - 15:00

S5: Networks, Security, Embedded Systems, and Internet of Things (IoT)

Onsite
Room: B (No. 11)
S5.1 13:00 Automated Corn Field Detection and Measurement: a UAV-Based Deep Transfer Learning Approach
Chinapat Sakunrasrisuay, Punoi Pongsatorn, Arisman Meteepatipan, Chatchai Punriboon, Satit Kravenkit, Nikorn Kannikaklang and Phet Aimtongkham
S5.2 13:15 Verifiable Credential Wallet for Digital Transcripts
Tharathep Klinla-Or and Ittipon Rassameeroj
S5.3 13:30 Cloud-Based Face Recognition Service Optimization by Object Tracking
Sasithorn Suchaiya, Sorapong Ruanmanee and Jitti Niramitranon

Tuesday, April 22 13:00 - 15:00

S6: Artificial Intelligence and Machine Learning

Onsite
Room: C (No. 21)
S6.1 13:00 Improving Deformation Detection Accuracy on Facebook Using Advanced Text Methods
Saowalak Arampongsanuwat, Orawan Chaowalit, Pitikan Kuntitan, Patipan Watjanapron and Karanya Sitdhisanguan
S6.2 13:15 Integrating Multimodal Deep Learning for Accurate Classification and Retrieval of the Motifs on the Centre of Sukhothai Ceramics
Orawan Chaowalit
S6.3 13:30 Facility Location Problem with Balancing Facility Workloads and Probabilistic Customer Demands
Wasin Padungwech and Nathnarong Khajohnsaksumeth
S6.4 13:45 Digital Workforce Matching: a Machine Learning Model for Skill-Based Job Classification and Recommendation
Paweena Chaiaroon, Nuttachot Promrit, Sajjaporn Waijanya, Natratanon Kanraweekultana and Karanya Sitdhisanguan
S6.5 14:00 Multi-Scale Feature Aggregation and Attention (MSFAA) Model for Enhanced Facial Expression Recognition
Rit Lawpanom, Jakkrit Kaewyotha and Wararat Songpan
S6.6 14:15 Banana Quality Classification Using Lightweight CNN Model with Microservice Integration System
Vasutorn Chaowalittawin, Woranidtha Krungseanmuang, Posathip Sathaporn, Fuka Morita, Tuanjai Archevapanich and Boonchana Purahong
S6.7 14:30 Clustering of ESTS Test Scores for Students in the Faculty of Science and Technology at Loei Rajabhat University
Supailin Pichai, Dulachat Siriwallop and Thosang Phimbaotham

Tuesday, April 22 13:00 - 15:00

V2: AI and Data Science (Thai track)

Online
Room: Virtual Conference
V2.1 13:00 Sentiment Analysis of Game Reviews
Natthapumin Manucham, Aniruth Chothanom, Wararat Songpan and Artitayaporn Rojarath
V2.2 13:15 A Comparative Study on Imputation Methods for Clustering with Missing Data
Pinidchaya Chottanom, Niwan Wattanakitrungroj and Sasiporn Tongman

Tuesday, April 22 15:00 - 17:00

S7: AI and Machine Learning

Onsite
Room: A (Main room no. 8-9)
S7.1 15:00 An Artificial Intelligence-Based Bone Age Assessment for Thai Children
Sarun Paisarnsrisomsuk, Pitchaya Wiratchotisatian, Kwankhao Tangprasert, Ratikorn Chaisiwamongkol, Wichuda Chaisiwamongkol and Weerapat Srikongpan
S7.2 15:15 Identifying Key Factors for Multiclass Classification of Bird Sounds Based on Wav2Vec Model
Thitiwan Sirivadhanakul, Prapaporn Rattanatamrong and Satanat Kitsiranuwat
S7.3 15:30 Unveiling Prime Investment Opportunities in Raw Land: a Data-Driven GIS Approach to Price Prediction and Cost Comparison in Phra Nakhon Si Ayutthaya
Wichai Witayakiattilerd and Nattharat Kanphakdee
S7.4 15:45 A Robustness Study of Federated Learning for EEG-Based Eye State Classification
Pamica Srimora, Prapaporn Rattanatamrong, Wanida Putthividhya, Thapana Boonchoo and Kundjanasith Thonglek