Abstract: A novel framework for integrating Machine Learning (ML) algorithms into the supervisory control of multi-machine power systems is proposed. In particular, ML is used to identify the ...
Abstract: The phenomenon of cyberbullying has emerged as a critical challenge in the digital landscape which poses detrimental effects on individuals and broader societal frameworks. A viable approach ...
As the third quarter of 2025 draws to a close on September 30, XRP faces a turbulent backdrop marked by ETF delays, sector-wide deleveraging, and volatile technicals. The token, which currently trades ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Pune, a metropolitan city in western India, where this study ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States Institute for Quantitative Health Science and Engineering, Michigan State ...
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...
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