An ESG-ConvNeXt network for steel surface defect classification based on hybrid attention mechanism

Ning Zhang; Ziyang Liu; Enxu Zhang; Yuanqi Chen; Jie Yue

doi:10.1038/s41598-025-88958-6

An ESG-ConvNeXt network for steel surface defect classification based on hybrid attention mechanism

N Ning Zhang Z Ziyang Liu E Enxu Zhang Y Yuanqi Chen J Jie Yue (State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, and Department of Chemistry)

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published March 29, 2025

DOI 10.1038/s41598-025-88958-6

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

N

Ning Zhang

Z

Ziyang Liu

E

Enxu Zhang

Y

Yuanqi Chen

J

Jie Yue

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, and Department of Chemistry

An ESG-ConvNeXt network for steel surface defect classification based on hybrid attention mechanism

Article Details

Journal Info

Authors (5)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation