Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...
Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...
Abstract: The monitoring of semi-natural ecosystems has become increasingly critical due to the rising impact of ecological disturbances, including natural disasters and unauthorized human-made ...
Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...
TockyConvNetR: An R package focused on data preprocessing and feature cell analysis suitable for Convolutional Neural Network (ConvNet) analyses. This package facilitates image conversion methods for ...
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