Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines sample entropy, localized voltage area, and fuzzy entropy to accurately ...
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: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...
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 ...
Abstract: Load forecasting, a crucial aspect of energy management, involves predicting the future electricity demand based on historical data. In the context of monthly time series analysis, this ...
Abstract: This research seeks to compare the accuracy of the novel Random Forest (RF) and Logistic Regression (LR) methods for forecasting software problems which avoids security threats based on a ...
The random forest regression (RFR) model was introduced to predict the multiple spin state charges of a heme model, which is important for the molecular dynamic simulation of the spin crossover ...
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