A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques

arXiv:2405.02340v1 Announce Type: cross
Abstract: Reducing Carbon dioxide (CO2) emission is vital at both global and national levels, given their significant role in exacerbating climate change. CO2 emission, stemming from a variety of industrial and economic activities, are major contributors to the greenhouse effect and global warming, posing substantial obstacles in addressing climate issues. It's imperative to forecast CO2 emission trends and classify countries based on their emission patterns to effectively mitigate worldwide carbon emission. This paper presents an in-depth …

abstract analysis arxiv carbon carbon dioxide change climate climate change co2 co2 emission contributors cs.lg development economic global human index industrial machine machine learning machine learning techniques major role stat.ap statistical stemming type vital