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 improved the efficiency of model development and enhanced malware detection accuracy by performing parallel hyperparameter tuning for machine learning models.
In this study, we proposed a method to estimate restaurant congestion and calculate waiting times using live camera footage from the Internet and object detection technology.
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.