e-Society Laboratory

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A few-shot learning model to digitize handwritten characters in Persian historical documents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