The field of brain connectomics has rapidly evolved, transforming our understanding of neural structures and the intricate patterns that underlie brain ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Abstract: In the context of automated driving, navigating through challenging urban environments with dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving accurate ...
1 The University of Hong Kong, Division of Speech and Hearing Sciences, Hong Kong, SAR China 2 University of Central Florida, Department of Communication Sciences and Disorders, United States ...
A Python module to model, fit, and analyse single and binary spectral energy distributions (SEDs). This theory behind the code, and the method it implements, are ...
Abstract: Hyperspectral imagery is often used in chemometric studies for quality sorting and recycling due to its ability to produce rich spectroscopy data. In this paper, we study plastics detection ...
The meta-analysis revealed that electronic media use was significantly linked with decreased sleep quality and increased sleep problems with varying effect sizes across subgroups. A significant ...
Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19 ...
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