Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: Nowadays, within last decade, car production has been growing substantially. In 2016, over than 70 million passenger cars have been produced. Different websites, like Cars24, CarDekho, OLX, ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops and ...

Abstract: The objective of the research study is to predict and analyze the flight ticket fare using machine learning algorithm Random Forest Regressor in comparison with Decision tree Regression ...

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The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...