Work

AccidentNet: Enhancing Traffic Accident Classification via Channel-Separated Networks

Year: 2025

Type: article

Source: The Journal of Korean Institute of Information Technology

DOI: 10.14801/jkiit.2025.23.10.41

Authors: Soe Sandi Htun, Rosemary Koikara, YuDong Hwang

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funders: Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology

OpenAlex ID: W4415978548

FWCI:

Cites: 27

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