Abstract: Single-image super-resolution is a common method for improving the resolution of remote sensing images. However, existing methods often suffer from artifacts and texture distortion when ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
NEW YORK—Nielsen will launch a pilot program leveraging a new methodology enhancement to account more accurately for co-viewing, beginning Feb. 8 with Super Bowl LX on NBC. The program, which will ...
A push to draw a clear line between local policing and federal civil immigration authorities hit a roadblock at Tuesday's Johnson City Board Meeting. Mayor Christina Charuk introduced the ...
Abstract: Image super-resolution (SR) aims to enhance the spatial resolution of images and overcome the hardware limitations of imaging systems. While deep-learning networks have significantly ...
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