Abstract

Artificial intelligence (AI) techniques play an important role in predicting, diagnosing, and monitoring the emission of hazardous or toxic gases emitted from industries or various places. Also, it helps in continuous monitoring of environmental pollutants based on time series. Leakage of gas or toxic gases leads to health-related issues to human beings. Deep learning is a part of AI, and several deep learning algorithms are used to detect the emission of toxic gases in industries, indoors, refineries, etc. This chapter gives a detailed survey on different sensors and different deep learning algorithms used for diagnosing emission of hazardous gases.

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