What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for ...
A new technical paper, “Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...
Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...
Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
ABSTRACT: Microfinance institutions in Kenya play a unique role in promoting financial inclusion, loans, and savings provision, especially to low-income individuals and small-scale entrepreneurs.
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