Work

XceptionSELite: Lightweight and Efficient Network for Traffic Sign Recognition

Year: 2025

Type: conference-paper

Source: International Conference on Communication, Security and Artificial Intelligence (ICCSAI)

DOI: 10.1109/iccsai64074.2025.11064625

Authors: S. Deivanayaki, P. Abinaya, J. Senthil Kumar, R. Nagajothi

Institution: Mepco Schlenk Engineering College

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

OpenAlex ID: W4412399055

FWCI: 0.857

Cites: 9

Cited by: 1

Related to: 10