Abstract: Stock market prediction poses significant challenges due to the inherent noise and volatility of the data. These challenges are further amplified in emerging stock markets, where data ...
Abstract: In remote sensing image processing for Earth and environmental applications, super-resolution (SR) is a crucial technique for enhancing the resolution of low-resolution (LR) images. In this ...
The vice-chancellor stood at the podium in Oxford’s Sheldonian Theatre, her voice echoing against the carved ceiling: Now go out there and change the world. Robes rustled. Cameras clicked. Rows of ...
This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...
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