Abstract: Salient object detection from optical remote sensing images seeks to detect and segment out objects that stand out visually by mimicking human interpretation. Accurately detecting salient ...
Abstract: In this paper, we propose a deep residual shrinkage neural network (DRSNN) based on sparse prior for solving the orthogonal time frequency space (OTFS) channel estimation problem.
Objective: This study aimed to assess the incremental efficacy of self-guided iCBT-I with optional on-demand feedback for university students with insomnia compared to a single session of digital ...
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