In a recent development, Mr. Sangawa, a M2 student, has released a deep neural network (DNN)-based malware detection model named DeepMalDetect on GitHub.

In posture analysis group, we conduct research on posture analysis using the open-source library OpenPose, which is a technology for skeletal detection.

Our group of transportation analysis, research works have been conducted using the traffic flow simulator, Simulation of Urban Mobility (SUMO). Our studies include: - Investigations on highway merging congestion and collisions using a traffic flow simulator, - Evaluations of intersections that consider pedestrian movements - Analyses of the causes of traffic accidents and congestion using a traffic simulator.

In this study, we analyzed the characteristics of dart-throwing forms that enable beginners to achieve more stable and higher scores by utilizing OpenPose, a skeleton detection technology.

we investigated how the attractiveness of individual faces influences the perceived attractiveness of a group.

we improved the efficiency of model development and enhanced malware detection accuracy by performing parallel hyperparameter tuning for machine learning models.

In this study, we investigated the quality of programs automatically generated by large language model (LLM) by applying code metrics—such as the number of code steps and complexity—and static analysis tools.

In this study, we developed a simplified work schedule management system using “LibreOffice Calc, ” (※1) a free open-source software (OSS).

In this study, we examined the communication characteristics of network-based video transmission using Network Device Interface (NDI).

This study investigated methods for efficiently generating voice clones from a small amount of speech data.