Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
Tongue images and related clinical data were retrospectively collected from 120 HT patients (60 each from the euthyroid group and the hypothyroidism group), and the tongue region was segmented by ...
Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
Abstract: Animal image classification is a crucial task in various domains, including wildlife monitoring, biodiversity conservation, and veterinary research. Traditional classification methods often ...
Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
ABSTRACT: Currently, social platforms provide places for people not only to gather information but also to generate and propagate rumors. Consequently, rumor detection has become a major global task ...
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