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The climatic variations observed in recent decades in Patagonia have affected the dynamics of the Andean forests. In this study, new and existing Austrocedrus chilensis chronologies were subjected to analysis in 28 sites...

Abstract Over the past two decades, China has experienced frequent extreme events and substantial land cover changes. Site‐scale assessments of net ecosystem exchange (NEE) are constrained by the fixed land cover types...

This study presents a novel machine learning approach to assess human well-being through the analysis of brain wave activities. We developed a Random Forest classifier to categorize brain wave patterns into three states ...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

Abstract High-throughput analysis of EEG data has significantly contributed to understanding neural dynamics in Alzheimer’s disease diagnosis. However, the complexity and high dimensionality of EEG signals pose challen...

"This thesis investigates the application of machine learning methods to the task of deforestation monitoring using time-series satellite data. The objective is to assess how different algorithmic approaches perform in d...