Year: 2024
Type: article
Abstract: AI-driven system developed to predict the effects of climate change by leveraging advanced machine learning techniques. By integrating diverse datasets including atmospheric measurements, oceanic data, satellite imagery, and socioeconomic indicators, the system aims to uncover complex relationships influencing climate dynamics. Machine learning algorithms such as regression, classification, and clustering are applied to analyze and predict climate patterns and trends. Deep learning models such as CNNs and RNNs are utilized for time-series analysis and forecasting, enhancing the system's ability to provide accurate predictions. Ultimately, this AI-based approach seeks to support informed decision-making and adaptive strategies in mitigating the impacts of climate change on ecosystems, agriculture, water resources, and human health.
Author: Mr. G. Vimalsubramanian
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W4404150581