Work

ECSN-YOLO: A lightweight framework for real-time detection of train underbody components

Year: 2026

Type: article

Source: Measurement

DOI: 10.1016/j.measurement.2026.122783

Authors: Bin Wang, Feng Zhao, Changyi Zhao, Zihe Yang, Chunbao Liu, Konghua Yang

Institution: Jilin University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: National Science and Technology Major Project

Award: G1509884095

OpenAlex ID: W7202197873

FWCI:

Cites: 21

Cited by:

Related to: 10