Page 3 - Random Forest News Today

What are the applications of machine learning and deep learning models in the credit market? Answer by Celine Yue, Former Postdoc at UNC Kenan-Flagler Business School

Job: Postdoctoral Research Fellowship in Machine Learning - University of Michigan Ann Arbor, MI, United States

An early alert indicator and trend forecasting model for pandemic situations in Germany.

Antarctic moss beds are sensitive to climatic conditions, and both their survival and community composition are particularly influenced by the availability of liquid water over summer. As Antarctic regions increasingly face climate pressures (e.g., changing hydrology and heat waves), advancing capabilities to efficiently and non-destructively monitor water content in moss communities becomes a key research priority. Because of the complexity induced by multiple micro-climatic drivers and its fra...

Do the deep learning models outperform tree based models on a typical tabular dataset? Photo by Mahdis Mousavi on Unsplash Introduction Deep learning has been…

An innovative depression detection model that leverages audiovisual features from YouTube vlogs.

An innovative digital solution prepares an operational database and stores performance results of drill bits, motor power sections, RSS, BHA configurations and drilling fluids. After parameters of a planned drilling run are set, a multidimensional distance-based approach selects similar previous drilling runs for analysis. The process enables rational technology selection recommendations.

Wind power forecasting is pivotal in promoting a stable and sustainable grid operation by estimating future power outputs from past meteorological and turbine data. The inherent unpredictability in wind patterns poses substantial challenges in synchronizing supply with demand, with inaccuracies potentially destabilizing the grid and potentially causing energy shortages or excesses. This study develops a data-driven approach to forecast wind power from 30 min to 12 h ahead using historical wind p...

Businesses these days cannot survive by simply performing well. In the 21st Century, it is really important that...

Here, we discuss some examples of how artificial intelligence is contributing to the treatment of age-related diseases and an explanation of the underlying technologies.