RESEARCH

Artificial photosynthesis is an ideal reaction to achieve carbon neutrality and has attracted much attention. We have successfully driven photoelectrochemical CO2 reduction in aqueous solution in a hi [...]

In this study, Learning Commons also has been redefined from three different dimensions. For the basic dimension, according to the literature review, cases study, and the questionnaire investigation, [...]

In this study, based on the measured trajectory data in the NGSIM (Next Generation Simulation) project, a hierarchical driving style identification model based on Support Vector Machine (SVM) and opti [...]

In this study, we plan to develop an AI-based color suggestion system that combines the color features of famous paintings with each user’s personal color preferences. Recently, color selection [...]

As quantum computing advances, writing and maintaining quantum programs has become increasingly complex due to high programming barriers and frequent errors. Semantic bugs, gate misconfigurations, and [...]

Vection refers to the visual illusion of self-motion induced by a stationary observer (Right figure). Visual-spatial attention involves directing attention to a location in spatial. Some studies have [...]

Increasing Sensitivity of Low Frequency Measurement in Rectangular Wave Eddy Current Testing

Department of Electrical and Electronic Engineering, Graduate School of Information Science and Electrical Engineering

　Eddy current testing (ECT) can detect defects in conductor material and is used for quality assurance of conductor material and periodic inspection of aircraft parts, and has attracted attention for [...]

Neural network-driven systems have demonstrated effectiveness in fields such as machine learning and autonomous driving. However, due to the complexity of their internal structures, accurately predict [...]

DSPECs for ultra CO selective solar CO2 reduction using water as an electron source

Transformation of Library Learning Commons for co-creation

Study on Driving Behavior Based on Driving Style Identification in Expressway Merging Area

An AI-Based Color Suggestion System That Combines the Color Styles of Famous Paintings with Individual User Preferences

Quantum Program Generation and Repair via Large Language Models

The effect of vection on spatial attention

Increasing Sensitivity of Low Frequency Measurement in Rectangular Wave Eddy Current Testing

Reachability Analysis for Reliability Assurance of Neural Network-Driven Systems

“Future-Creation (MIRAI)” Course Kyushu University SPRING program