Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...

Abstract: This paper examines Decision Tree Classifier (DTC) Machine Learning (ML) algorithms that are constructed using node-splitting techniques, including variance-related measures, Statistical ...

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For countries with large internal migrant populations, reducing the opt-out rate from basic medical insurance among this group remains a major obstacle to achieving universal health coverage (UHC).