Machine Learning Techniques, Gas Emission Mitigation, and Environmental Safety

Abstract

Environmental safety is threatened by gas emissions, among other pollutants and threats to the environment. In exploring machine learning techniques, gas emission mitigation, and environmental safety, this study relied on secondary data. The data were subjected to content and thematic analyses. Analytic description and interpretive devices were employed. The analysis shows that machine learning, a model of artificial intelligence (AI), has the capacity to mitigate gas emissions and foster the attainment of environmental safety. The study concludes that machine learning techniques are efficient mechanisms for mitigating gas emissions and ensuring environmental safety in various regards. In view of the promising opportunities of machine learning techniques, the study recommends that the techniques should be integrated into other systems of managing and combating gas emissions and pursuing the attainment of environmental safety.