The label of six gases.

<div><p>It is critical to identify and detect hazardous, flammable, explosive, and poisonous gases in the realms of industrial production and medical diagnostics. To detect and categorize a range of common hazardous gasses, we propose an attention-based Long Short term memory Full Convol...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xueying Kou (3940031) (author)
مؤلفون آخرون:	Xingchi Luo (19667086) (author), Wei Chu (2008030) (author), Yong Zhang (5893) (author), Yunqing Liu (553987) (author)
منشور في:	2024
الموضوعات:	Biotechnology Ecology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified traditional optimization algorithms rf ), k gas categorization accuracy suggested approach outperforms common hazardous gasses model using university fcn hybrid model sparrow search algorithm fcn </ p fcn model fcn using cuckoo search xlink "> suggested alstm poisonous gases network parameters nearest neighbor medical diagnostics logistic regression industrial production genetic algorithm findings indicate experimental data detect hazardous 471 %) 083 %).
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The label of six gases.

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