AJCC2025

Host: EEAAT & AJCC Network
Event Date: 21-24 April 2025
Venue: Kansai Kenshu Center (KKC)
Osaka, Japan

Keynote speaker:

Prof. Dr.-Ing. Habil. Dr. h.c. Herwig Unger

FernUniversität in Hagen, Germany

His research interests are in decentralised systems and self-organization, natural language processing, Big Data as well as large scale simulations. He has published more than 150 publications in refereed journals and conferences, published or edited more than 30 books and gave over 35 invited talks and lectures in 12 countries. Beside various industrial cooperations, e.g. with Airbus Industries, he has been a guest researcher/professor at the ICSI Berkely, University of Leipzig, Université de Montréal (Canada), Universidad de Guadalajara (Mexico) and the King Mongkut’s University of Technology North Bangkok.

Title: A brain-inspired approach to sequence learning

This talk offers insights into cutting-edge research at the Chai 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.

Lists of Session Chairs

Prof. Dr.-Ing. Habil. Dr. h.c. Herwig Unger, FernUniversität in Hagen, Germany
Assoc.Prof. Chonlatee Photong, Ph.D., Mahasarakham University, Thailand
Assoc.Prof. Olarik Surinta, Ph.D., Mahasarakham University, Thailand
Assoc.Prof. Orasa Tetiwat, Ph.D., Nakhon Sawan Rajabhat University, Thailand
Asst.Prof. Chatklaw Jareanpon, Ph.D., Mahasarakham University, Thailand
Asst.Prof. Jarunee Duangsuwan, Ph.D., Prince of Songkla University, Thailand
Asst.Prof. Khanista Namee, Ph.D., King Mongkut’s University of Technology North Bangkok, Thailand
Asst.Prof. Warangkhana Kimpan, Ph.D., King Mongkut’s Institute of Technology Ladkrabang, Thailand
Apisake Hongwitayakorn, Silpakorn University, Thailand

Lists of

Authors

Tentative Program

Click

Awards

Best Presentation Awards

Session S1

Sanyapong Petchrompo, Ajith Kumar Parlikad, and Naruemon Wattanapongsakorn

An Approach for Enhanced Decision-Making in Multi-Objective Maintenance Planning for Integrated Railway Systems

Session S2

Noppanan Kloysawat and Salang Musikasuwan

A Comparative Study on Electricity Consumption Predictive Models of Electronic Manufacturing in Thailand

Session S3

Phornvipa Werukanjana, Prush Sa-nga-ngam, and Norapatra Permpool

Implementing Levenshtein Edit Distance Algorithm in DNA Profiles Direct Matching

Session S4

Sujitranan Mungklachaiya and Anongporn Salaiwarakul

Enhancing Natural Attraction Scene Classification with Attention Mechanism: Attention-X

Session S5

Pagon Gatchalee, Sajjaporn Waijanya, and Nuttachot Promrit

Intention Classification of Chinese Topics on Thai Facebook Pages Using Transformer Models with Emotional Features

Session S6

Rit Lawpanom, Jakkrit Kaewyotha, and Wararat Songpan

Multi-Scale Feature Aggregation and Attention (MSFAA) Model for Enhanced Facial Expression Recognition

Session S7

Sarun Paisarnsrisomsuk, Pitchaya WiratchoAsaAan, Kwankhao Tangprasert, Rakorn Chaisiwamongkol, Wichuda Chaisiwamongkol, and Weerapat Srikongpan

An Artificial Intelligence-Based Bone Age Assessment for Thai Children

Session S8

Wararit Panichkitkosolkul

Confidence Intervals for the XRani Distribution Parameter in Analyzing PM2.5 Concentrations in Bangkok, Thailand

Session S9

Jayson J. Elenzano, Amy Lizbeth J Rico, John Alvin M Neuda, and Michael R. Raquel

Development of Smart Technologies for Profitable Onion Production

Session V1

Pornpimon Boriwan and Thanathorn Phoka

A Green and Unified Log Framework Incorporating Machine Learning and Multi-Objective Feature Selection

Session V2

Thirachit Saenphon and Piyarat Silapasuphakornwong

Enhancing Audience Experience in Traditional Thai Long-Boat Racing Through Semi-Automated Competition Ranking for Streaming (SACRS)

Call for papers

Gallery

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