Thesis
Our thesis titles
An agent-based simulation system to explore social behavior at educational organizations
Designing computer games for human cognitive development
An artificial immune system to optimize productivity and energy consumption for green manufacturing
Delivery network optimization for Myanmar e-government
A semi-supervised approach for customer need assessment in the e-commerce industry
A system to automatically map indoor spaces with a smartphone
Annotation-efficient approaches towards real-time emotion recognition
A personal support system for disabled people using a Brain-Computer Interface
A framework for developing requirements engineering tools for computational business intelligence
Blood bag delivery planning using Extreme Gradient Boosting model and Genetic Algorithm
A machine learning approach to analyze fashion styles from large collections of online customer reviews
An image-crowdsourcing system for plant disease detection in the African region
Traffic anomaly detection based on vehicle orientation
Recipe-from-image recommender system for Asian cuisine
Road surface quality assessment using car-mounted smartphone sensors
A fashion matching system for customers of online retailers
A machine learning approach to evaluate Tai Chi learner movements
A gaze tracking technology for smart environments
A machine learning approach to verify design solutions for voting advice applications (VAA)
An information theoretic approach to topic modeling
Voice analysis for anxiety recognition from conversational data
A generative approach to customizable fashion design, based on body features
Smartphone-based participatory sensing for road condition monitoring
Sentiment analysis of Japanese slang using short documents
Landslide prediction based on the historical precipitation data in Japan
Semantic similarity assessment to generate statement suggestions for voting advice applications
A few-shot learning model to digitize handwritten characters in Persian historical documents
An incremental learning framework, based on smartphone image and sensory data, for road surface quality assessment
A machine learning model to detect motorbike occupancy rule violations
A machine learning model to predict the admissionability of e-petitions
The development of a dynamic knowledge model for customer relationship management systems of hotels in Indonesia
An interactive system for homophone error detection and correction in Chinese handwriting
An approach to detect speaking anxiety of Japanese language learners
Abstractive text summarization for Indonesian news articles with a transformer-based sequence-to-sequence model
Visual speech recognition with audio
Contextual learning for the Thai language
A system for detecting cyberbullying in Chinese social media
Student assistant chatbot for Ritsumeikan University
A system to support learning football kick techniques from videos, based on human pose estimation
A zero-shot contrastive learning model for music classification
Facilitating online petition topic categorization in South Korea: a BERT-based approach
A system to support skateboarder performance analysis, using dynamic time warping and trick segmentation
A multi-stage deep learning framework for Apple leaf disease detection, classification, and stage recognition
A system to evaluate user preference shifts in conversational recommender systems
Preference-aligned abstractive summarization for Mongolian Cyrillic script
Data-driven evacuation strategy evaluation in a campus digital twin
Bézier ribbon-based text line segmentation for OCR of handwritten Malayalam documents
Predicting text classification model fitness without benchmarking: A data similarity distribution-based approach
A system that models authorial intent for context-sensitive scholarly paper recommendation
Multi-scale topological modeling for unsupervised event hierarchy discovery in complex videos
Multi-scale topological modeling for unsupervised event hierarchy discovery in complex videos
A deep reinforcement learning approach to roundabout traffic signal control
Machine learning approach for modernizing civic-tech tools to support effective citizens–government interactions