Control-Centric Data Classification Technique for Emission Control in Industrial Manufacturing

نویسندگان

چکیده

Artificial intelligence-based hardware devices are deployed in manufacturing units and industries for emission gas monitoring control. The data obtained from the intelligent analyzed at different stages standard emissions carbon This research article proposes a control-centric classification technique (CDCT) analyzing as well controlling pollution-causing units. AI observe intensity, rate, composition intervals. observed used classifying its adverse impact on environment, result industry-adhered control regulations recommended. classifications performed using deep neural network analysis over data. learning classifies according to environmental effect harmful intensity factor. process is segregated into analysis, where previous guidelines. hazardous components levels updated after recommending severe lookups varying

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ژورنال

عنوان ژورنال: Processes

سال: 2023

ISSN: ['2227-9717']

DOI: https://doi.org/10.3390/pr11020615