Abstract: The purpose of this research aims to develop a method utilizing image and text processing to extract information from drug labels. The input images used in this research are drug labels on ...
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This project focuses on the development of an efficient and precise ship classification and detection system using Inverse Synthetic Aperture Radar (ISAR) images. The system integrates deep learning, ...
Abstract: The image multi-label classification task is a common and computationally intensive computer vision task. In this paper, we generate interpretable text features from images by visual large ...
This study presents a fundamental discovery of how cerebellar climbing fibers modulate plastic changes in the somatosensory cortex by identifying both the responsible cortical circuit and the ...
The medial nucleus accumbens shell (medNAcSh) is increasingly recognized as a key node in the regulation of hedonic feeding, exerting strong control over reward consumption through its projections to ...