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<div><p>The precise monitoring and localization of industrial exhaust smoke emissions play a crucial role in environmental management. Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. This study presents an...

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Bibliographic Details
Main Author:	Yaojun Zhang (389482) (author)
Other Authors:	Guiling Wu (6031019) (author)
Published:	2025
Subjects:	Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified specialized dataset reveal offering innovative approaches novel bc2f structure mean average precision channel grouping approach adaptive query mechanism model &# 8217 extensive model parameters traditional convolution techniques bwg outperforms yolov8n model size lightweight convolution xlink "> study presents study employs storage demands smoke detection scale targets precise monitoring point operations per second minimize computational loss function environmental management deploying yolov8n crucial role backbone network also integrates
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Dataset visualization diagram.

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