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An Enhanced Traffic Sign Recognition Approach Based on Federated Learning

Year: 2024

Type: conference-paper

Source: International Conference on Computer and Information Technology (ICCIT)

DOI: 10.1109/iccit64611.2024.11021907

Authors: Mohammad Shahria, Md.Sakib Hasan, Md. Khaliluzzaman, Choyon Barua, Mohammed Borhan Uddin

Institutions: International Islamic University Chittagong, Chittagong University of Engineering & Technology

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: W4411173490

FWCI:

Cites: 15

Cited by:

Related to: 10