Posted inActivity Details
2024 Interim Presentation of Graduation Research
On July 24, 2024, interim presentations by graduating research students were held.
Posted inEvents
2024 laboratory assignment for third-year undergraduate students
In April 2024, ten new third-year undergraduate students were assigned to Professor Masuda’s Laboratory at Tokyo City University.
Posted inResearch works
“Improving malware detection accuracy through hyperparameter tuning with parallel processing “(Undergraduate student’s research for the 2023 academic year)
we improved the efficiency of model development and enhanced malware detection accuracy by performing parallel hyperparameter tuning for machine learning models.
Posted inResearch works
“Analysis of source code automatically generated by large language model”（Graduation research for the 2023 academic year）
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.
Posted inResearch works
“Development of a simplified work schedule management system using open-source software (OSS)”（ Undergraduate student’s research for the 2023 academic year ）
In this study, we developed a simplified work schedule management system using “LibreOffice Calc, ” (※1) a free open-source software (OSS).
Posted inResearch works
“An evaluation of communication characteristics in network video transmission using NDI”（ Undergraduate student research for the 2023 academic year ）
In this study, we examined the communication characteristics of network-based video transmission using Network Device Interface (NDI).
Posted inResearch works
“An investigation efficient methods for voice cloning”（ Undergraduate student research work for the 2023 academic year ）
This study investigated methods for efficiently generating voice clones from a small amount of speech data.
Posted inResearch works
“Medical Expenditure Prediction and Regional Disparities Analysis Using Machine Learning “(Undergraduate student’s research for the 2023 academic year)
This study aimed to predict future changes in medical expenditures and examine regional disparities using machine lerarning models.