Work

Comparison of ResNet & VGGNet for Traffic Sign Image Quality in Nighttime

Year: 2024

Type: conference-paper

Source: International Seminar on Application for Technology of Information and Communication (iSemantic)

DOI: 10.1109/isemantic63362.2024.10762305

Authors: Husin Sufi, Guruh Fajar Shidik

Institution: Universitas Dian Nuswantoro

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4405634220

FWCI:

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