Skip to content
Masuda-lab.

Masuda lab., Tokyo City University

  • Home
  • Vision
  • Member
  • Reseach
  • Access
  • Home
  • Vision
  • Member
  • Reseach
  • Access
  • English
  • 日本語 /
  • メニュー項目
  • メニュー項目
  • メニュー項目
  • Home
  • 2025
  • February
M1 student Sangawa-san made a presentation: “Parallel-processed hyper parameter tuning for higher accuracy of malware detection” on ICIIT2025
Posted inConferences

M1 student Sangawa-san made a presentation: “Parallel-processed hyper parameter tuning for higher accuracy of malware detection” on ICIIT2025

2025-02-21
In February 2025, a research presentation was delivered at the International Conference on Intelligent Information Technology (ICIIT 2025), held in Hanoi, Vietnam. The study presented focused on malware detection using machine learning techniques. 
Read More
“Investigation of Congestion and Collisions during Highway Merging Using a Traffic Flow Simulator” (Undergraduate Thesis Academic Year 2024) 
Posted inResearch works

“Investigation of Congestion and Collisions during Highway Merging Using a Traffic Flow Simulator” (Undergraduate Thesis Academic Year 2024) 

2025-02-13
This study investigated traffic congestion and collisions that occur at highway merging sections using a…
Read More
Study on Intersections Considering Pedestrian Movement Using a Traffic Flow Simulator (2024 Undergraduate Graduation Research)
Posted inResearch works

Study on Intersections Considering Pedestrian Movement Using a Traffic Flow Simulator (2024 Undergraduate Graduation Research)

2025-02-13
This study addresses congestion mitigation at intersections by jointly considering lane counts and pedestrian movements,…
Read More
Improving the Accuracy of Source Code Generated by Large Language Models through Prompt Engineering (FY 2024 Graduation Research)
Posted inResearch works

Improving the Accuracy of Source Code Generated by Large Language Models through Prompt Engineering (FY 2024 Graduation Research)

2025-02-13
This study focused on source code generation using Large Language Models (LLMs) and investigated how…
Read More
Creation of an Image Classification Model with Data Augmentation for Mixed-Breed Dog Identification(FY 2024 Graduation Research)
Posted inResearch works

Creation of an Image Classification Model with Data Augmentation for Mixed-Breed Dog Identification(FY 2024 Graduation Research)

2025-02-13
This study evaluates an image classification model developed with data augmentation to identify mixed-breed dogs.…
Read More
A Study on Improving the Classification Accuracy of Western-Style Pastry Images Using Deep Neural Networks(FY 2024 Graduation Research) 
Posted inResearch works

A Study on Improving the Classification Accuracy of Western-Style Pastry Images Using Deep Neural Networks(FY 2024 Graduation Research) 

2025-02-13
This study focused on image classification using deep learning and investigated methods for improving classification…
Read More
Facial Image Analysis for Emotion Prediction in Remote Environments (FY 2024 Graduation Research)
Posted inResearch works

Facial Image Analysis for Emotion Prediction in Remote Environments (FY 2024 Graduation Research)

2025-02-13
In recent years, remote communication, including online meetings and distance learning, has become increasingly common,…
Read More
Construction of a Dog Bark Classification Model Using Deep Neural Networks and Development of an Application System 
Posted inResearch works

Construction of a Dog Bark Classification Model Using Deep Neural Networks and Development of an Application System 

2025-02-13
Dogs and cats have become important members of many families. However, humans cannot accurately understand the emotions…
Read More

Recent Posts

  • Release of a high-accuracy malware detection model, DeepMalDetect, on GitHub  
  • Our faculty member participates in a panel discussion at the JSTQB conference
  • M1 student Sangawa-san made a presentation: “Parallel-processed hyper parameter tuning for higher accuracy of malware detection” on ICIIT2025
  • “Investigation of Congestion and Collisions during Highway Merging Using a Traffic Flow Simulator” (Undergraduate Thesis Academic Year 2024) 
  • Study on Intersections Considering Pedestrian Movement Using a Traffic Flow Simulator (2024 Undergraduate Graduation Research)

Category

  • Events
  • Conferences
  • Activity Details
  • Research works

Archives

  • October 2025
  • February 2025
  • January 2025
  • September 2024
  • July 2024
  • April 2024
  • February 2024
  • September 2023
  • August 2023
  • December 2022
  • April 2022
Copyright 2026 — Masuda-lab.. All rights reserved. Bloghash WordPress Theme
Scroll to Top