Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.
Abstract: Purpose of the Study: Neurodegenerative diseases such as Parkinson’s, Alzheimer’s, and Huntington’s progressively impair motor and cognitive functions, making early detection essential for ...
Cascade will remain a Class 4A school after the OSAA came to a final decision on classifications for the 2026-30 school years ...
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...
The U.S. Food and Drug Administration (FDA) released its Expanded Decision Tree (EDT) chemical toxicity and risk screening tool July 30. The tool was designed to provide a consistent, systematic, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
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