✦ CENTER OF EXCELLENCE · MFU

Advancing the Future
Through Artificial Intelligence

Center of Excellence in AI and Emerging Technology (AIE)
School of Applied Digital Technology, Mae Fah Luang University

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AIE

6Research Services

2018Established

86Publications 5Patents

ABOUT AIE

Rigorous Research.
Real-World Innovation.

◷EstablishedOctober 1, 2018

We cultivate a research ecosystem that connects knowledge, technology, and collaboration to create meaningful impact for society.

Strengthen and distinguish the research of School of Applied Digital Technology faculty in alignment with Thailand’s national research strategy.

Develop innovations and inventions that advance Mae Fah Luang University as a digital university.

Build capacity to secure external research funding and advance the academic work of early-career researchers, while supporting students in research, innovation development, and national and international academic competitions.

Advancing the FutureThrough Artificial Intelligence

Rigorous Research.Real-World Innovation.

Research-Powered Services

M-Research

M-Water

M-BurnScar

M-Stock

M-GenCheck

M-DeepfakeCheck

Publications

Journal

Design and Implementation of Web-Based Nutrition Database for Early Childhood Teachers in Ethnic Minority Schools in Northern Thailand

Early Peak Badges from Wi-Fi Telemetry: A Field Feasibility Study of Lunchtime Crowd Management on a Smart Campus

Enhancing multiclass brain tumor classification through automated segmentation-guided deep learning

Exploring factors influencing micromobility adoption in a tourism-centric island city, Phuket

Exploring the impact of formative and summative assessment approaches in virtual reality emergency response learning

Factors affecting shared micromobility adoptions in Thai tourist cities: A hierarchical factor analysis approach

M-Care: Online Air Quality Monitoring System Utilizing LoRa Communication Technology

Determinants of intercity mode choice preferences and travel behavior in a border tourism city

Optimisation of multiple clustering based undersampling using artificial bee colony: Application to improved detection of obfuscated patterns without adversarial training

Enhancing monitoring of suspicious activities with AI-based and big data fusion

Improved detection of transient events in wide area sky survey using convolutional neural networks

Adaptive Slicing of Point Cloud Directly with Discrete Interpolable-Area Error Profile in Additive Manufacturing

Classification of Adversarial Attacks Using Ensemble Clustering Approach

Improvised Explosive Device Detection Using CNN With X-Ray Images

Profiling Astronomical Objects Using Unsupervised Learning Approach

Estimation of missing values in astronomical survey data: An improved local approach using cluster directed neighbor selection

Improved KNN imputation for missing values in gene expression data

Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Determining patterns of student graduation using a bi-level learning framework

Embedded YARA rules: strengthening YARA rules utilising fuzzy hashing and fuzzy rules for malware analysis

Fuzzy-import hashing: A static analysis technique for malware detection

Using link-based consensus clustering for mixed-type data analysis

Improving consensus clustering with noise-induced ensemble generation

Recalibration of mapping quality scores in Illumina short-read alignments improves SNP detection results in low-coverage sequencing data

Conference Proceedings

A Multi-Method Approach to Psychographic Segmentation: Strategic Insights for Brand Positioning in Chiang Rai, Thailand

Design and Usability Evaluation of a Gamified Social Reading Platform Based on Self-Determination Theory

Forecasting Thai Gold Prices Using Correlation-Based Feature Selection and Vector Error Correction Model (VECM)

Integrating Machine Learning into Consumer Behaviour Analysis for Insect-Based Protein Supplements

Integrating Machine Learning into Data-Driven Marketing: A Case Study of Beverage Brand Consumer Segmentation

M-GenCheck2: Fast Detection and Source Attribution of AI-Generated Images Using Deep Learning

Modeling Student Study Space Occupancy Patterns through Passive Wi-Fi Sensing on a Smart Campus

Real-Time Air Quality Monitoring Device Using LoRaWAN Technology

A Hybrid Sentiment Analysis Approach for Hotel Reviews Using Lexicon-Based Sentiment Labelling and Machine Learning

Application of MClique Network Analysis Bridging Between Personality and Career

Comparison of Regression and Classification Models for Forecasting Thai Gold Prices

Customer Service Transformation for Admission in Mae Fah Luang University Using Chatbots Technology

Design and Development of a User-Centric Dashboard and Mobile Interface for Real Time Municipal Wastewater Monitoring System

Exploring Generative AI for Dynamic Carrying Capacity Assessment in Mountainous and Cave Areas: A Framework Development Approach

Interpretable Multi-Class Classification for Client Potential Prediction in B2B IT Sales

M-BurnScar: Temporal-Based Burnt Scar Profiling for Modelling Risk of Forest Fires in ASEAN Countries

M-GenCheck: Detecting Portrait AI-Generated Images Using Deep Learning in a Streamlit Web Application

Machine Learning-Driven Prediction and Analysis of Mental Health Risks Among University Students

Mining Student Behaviour Patterns for Mental Health Insights using Association Rule Learning

AI-Driven Design Thinking: A Comparative Study of Human-Created and AI-Generated UI Prototypes for Mobile Applications

Data Integraion and Data Pipeline Model by Using KNIME for Research Data

Development of Science Virtual Reality Lab Simulation (SVLS): Enhancing Immersive Experiences

Effectiveness of Classifying Unsafe Children's Toys Using NLP, Deep Learning and Ensemble Learning

Enhancing Data Collection for Market Basket Analysis Through CNN Object Detection

Enhancing Money Laundering Detection Addressing Imbalanced Data and Leveraging Typological Features Analysis

Evaluation of Generative-AI Fashion Images using CNN Classification and Regression

Hand, Heart, and AI Harmony: Integrating Generative AI to Innovate Northern Thai Local Wisdom

Leveraging Ingredient Profiles in Content-Based Skincare Product Recommendation

M-Stock: Automate Photo Assessment for Enhancing Student Photography Skills with Deep Learning

Online Low-Cost Air Quality Monitoring System Using LoRa-Based Communication

Predicting China's Marriage Rate: Causal Inference Using Dual Machine Learning (DML) with XGBoost, LightGBM, CatBoost, and GBDT

Predicting Marriage Rate Using Machine Learning and Panel Data Analysis: A Case Study of China

Predictive Modeling of Off-Campus Student Housing Rentals Using Machine Learning

Transferring Labels based on Text Similarity: An Application for e-Portfolio Sentiment Analysis

Using Machine Learning Models to Evaluate and Predict STEM Postgraduates' Graduation Rates: A Case Study of China

A Machine Learning Approach for Depression Screening in College Students Based on Non-Clinical Information

A review of Chatbots development and utilization for Admission in Mae Fah Luang University

An Analysis of Correlation Between Learning Style and Online Learning Performance During COVID-19: A Case Study of a Computer Programming Course

Application of Pose Estimation on Webcam for Fall Risk Assessment

Augmented Imagination: Exploring Generative AI from the Perspectives of Young Learners

Classification of Unsafe Children's Toys Based on NLP-Generated Corpus

Comparative Study of Deep Learning Model for Transient Image Classification

Depression Classification from Thai Text Twitter Post based on NLP-generated Corpus

Advancing the Future
Through Artificial Intelligence

Rigorous Research.
Real-World Innovation.

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