Many of us begin a new year hoping to become better versions of ourselves. Some aim to improve their health, others focus on ...

Abstract: In the last decade, with the increase in cyberattacks the privacy of network traffic has become a critical issue. Currently, simple network intrusion detection techniques are inefficient in ...

Abstract: Random Forests are renowned for their good performance on tabular data and are widely used in many real-life tasks. However, the ensemble mechanism sacrifices interpretability for higher ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

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 ...

ABSTRACT: The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in health, as obtained from the original study. It highlights ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated ...

I am writing to express my concern about the growing environmental pressures on our local forests and green spaces in Oneida County. As someone who is passionate about natural resource management, I ...