Abstract: Accurate wind power forecasting is crucial for efficient power grid operation with significant wind power integration. This study compares tree-based learning algorithms and advanced machine ...

Abstract: The healthcare sector plays a crucial role in ensuring the availability of appropriate and high-quality medicines for patients. This research addresses the issue of overstock and medicine ...

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

For example, a decision tree regression model prediction might be, "If employee age is greater than 43.0 and age is less than or equal to 51.5 and years-experience is less than or equal to 20.0 and ...

The ruling allowed immigration agents to stop people for reasons that lower courts had deemed likely unconstitutional. By Charlie Savage Reporting from Washington The Supreme Court on Monday ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...