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Release of a high-accuracy malware detection model, DeepMalDetect, on GitHub  
Posted inResearch works

Release of a high-accuracy malware detection model, DeepMalDetect, on GitHub  

2025-10-20
In a recent development, Mr. Sangawa, a M2 student, has released a deep neural network (DNN)-based malware detection model named DeepMalDetect on GitHub.
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Our faculty member participates in a panel discussion at the JSTQB conference
Posted inConferences

Our faculty member participates in a panel discussion at the JSTQB conference

2025-10-10
On October 10, 2025, Professor Satoshi Masuda of our laboratory participated as a panelist in…
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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)

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