Abstract: Remote sensing change detection in urban buildings faces challenges in recognizing building details, extracting texture structures, and suppressing interference from nonchange areas. To ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
Abstract: Transformer-based models have achieved significant success in sequential recommendation tasks. However, they often suffer from over-smoothing and inference inefficiency when handling long ...
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