Abstract: This research aims to enhance students' learning effectiveness through the application of existing Machine Learning techniques. By reviewing various studies in this field, the research ...
AZoMining on MSN
AI-Powered Radar Model Predicts Ground Subsidence in Mining Regions with Unprecedented Accuracy
XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...
Demographics, language, social media activity, and temporal features should be considered to maximize the accuracy of depression prediction models. Additionally, the effects of social media platform ...
Abstract: The increasing availability of healthcare data has enabled machine learning (ML) models to play a crucial role in disease prediction and diagnosis. This research focuses on improving ...
Following a 4-0 start to the season, there appeared to be no stopping the Buffalo Bills in their quest to earn another AFC East title and the No. 1 seed in the AFC. The Bills (4-2) were averaging over ...
Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, ...
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