Discerning sustainability: Analyzing Asia’s greenhouse gas emissions through AI

The escalating global apprehension regarding climate change and its consequences on the environment have incited extensive inquiry into the origins and repercussions of greenhouse gas emissions, particularly carbon dioxide (CO 2 ) emissions. Amongst the distinct geographical regions worldwide, Asia...

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Hauptverfasser: Ramrakhiani, Nikita, Kukreja, Anup, Mhetre, Kunal
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Mhetre, Kunal
description The escalating global apprehension regarding climate change and its consequences on the environment have incited extensive inquiry into the origins and repercussions of greenhouse gas emissions, particularly carbon dioxide (CO 2 ) emissions. Amongst the distinct geographical regions worldwide, Asia is a substantial contributor to these emissions, necessitating an exhaustive examination of its constituent elements which encompass land utilization, industrial undertakings, and various other demographic factors. This instigates the basis for our research with the intent of exploring multifaceted dimensions of CO 2 emissions in Asian countries, with a pronounced emphasis on emissions stemming from environmental Indicators. The inherent objective of our research is to stratify the per capita CO 2 emissions of these nations into discrete categories predicated on sustainability benchmarks. In this research, we work with AI algorithms like Decision tree, Random Forest and logistic regression, to ascertain and substantiate the classifications which can be categorized with regards to their CO 2 emissions. The amalgamation of these algorithms with data visualization tools like Tableau and Power BI contribute towards identifying existing patterns and add a dynamic edge to our model. The aim of the research is to analyze the cause of disparities between CO 2 emissions and develop insights to reduce or mitigate the effects of emissions on the environment while maintaining industrial development & quality of life. Unveiling critical discernments into the several factors that wield influence over CO 2 emissions to mitigate the effects is a crucial need today. The findings also. Identify the leading contributors among Asian nations in terms of CO 2 emissions. The key focus of this research is about the significance of adopting sustainable methodologies to curtail CO 2 emissions within Asian countries while maintaining a balance with their overall development. This endeavor not only distinguishes the nations with the loftiest emissions but also Gives input pertaining to assign priority in their efforts to mitigate their environmental footprint. By leveraging the insights emanating from this investigation, policymakers, Environmental advocates and stakeholders can devise strategies to achieve sustainability and alleviate the detrimental ramifications of CO 2 emissions in the region. This research serves as an indispensable initial stride toward a more ecologically aware and
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Amongst the distinct geographical regions worldwide, Asia is a substantial contributor to these emissions, necessitating an exhaustive examination of its constituent elements which encompass land utilization, industrial undertakings, and various other demographic factors. This instigates the basis for our research with the intent of exploring multifaceted dimensions of CO 2 emissions in Asian countries, with a pronounced emphasis on emissions stemming from environmental Indicators. The inherent objective of our research is to stratify the per capita CO 2 emissions of these nations into discrete categories predicated on sustainability benchmarks. In this research, we work with AI algorithms like Decision tree, Random Forest and logistic regression, to ascertain and substantiate the classifications which can be categorized with regards to their CO 2 emissions. The amalgamation of these algorithms with data visualization tools like Tableau and Power BI contribute towards identifying existing patterns and add a dynamic edge to our model. The aim of the research is to analyze the cause of disparities between CO 2 emissions and develop insights to reduce or mitigate the effects of emissions on the environment while maintaining industrial development &amp; quality of life. Unveiling critical discernments into the several factors that wield influence over CO 2 emissions to mitigate the effects is a crucial need today. The findings also. Identify the leading contributors among Asian nations in terms of CO 2 emissions. The key focus of this research is about the significance of adopting sustainable methodologies to curtail CO 2 emissions within Asian countries while maintaining a balance with their overall development. This endeavor not only distinguishes the nations with the loftiest emissions but also Gives input pertaining to assign priority in their efforts to mitigate their environmental footprint. By leveraging the insights emanating from this investigation, policymakers, Environmental advocates and stakeholders can devise strategies to achieve sustainability and alleviate the detrimental ramifications of CO 2 emissions in the region. 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The amalgamation of these algorithms with data visualization tools like Tableau and Power BI contribute towards identifying existing patterns and add a dynamic edge to our model. The aim of the research is to analyze the cause of disparities between CO 2 emissions and develop insights to reduce or mitigate the effects of emissions on the environment while maintaining industrial development &amp; quality of life. Unveiling critical discernments into the several factors that wield influence over CO 2 emissions to mitigate the effects is a crucial need today. The findings also. Identify the leading contributors among Asian nations in terms of CO 2 emissions. The key focus of this research is about the significance of adopting sustainable methodologies to curtail CO 2 emissions within Asian countries while maintaining a balance with their overall development. 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title Discerning sustainability: Analyzing Asia’s greenhouse gas emissions through AI
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