Statement of problem Computer-aided design and computer-aided manufacturing (CAD-
CAM) technology has greatly improved the efficiency of the fabrication of dental prostheses …

Writing high-quality test questions (items) is critical to building educational measures but has
traditionally also been a time-consuming process. One promising avenue for alleviating this …

In few-shot classification, performing well on a testing dataset is a challenging task due to
the restricted amount of labelled data available and the unknown distribution. Many …

In this article, we provide an approach to solve the problem of academic specialty selection
in higher educational institutions with Ukrainian entrants as our target audience. This …

Scope Fucosylated human milk oligosaccharides (fHMOs) are metabolized by
Bifidobacterium infantis and promote syntrophic interactions between microbiota that …

Image classification in real-world applications is a challenging task due to the lack of labeled
data. Many few-shot learning techniques have been developed to tackle this problem …

We propose a novel approach for distilling visual knowledge from a large-scale pre-trained
segmentation model, namely, the Segment Anything Model (SAM). Our goal is to pre-train …

The effectiveness, robustness, and flexibility of memory and learning constitute the very
essence of human natural intelligence, cognition, and consciousness. However, currently …

Surface defect detection is one of the most important vision-based measurements (VBMs) for
intelligent manufacturing. Existing detection methods mainly require massive numbers of …

The morphological classification of nucleated blood cells is fundamental for the diagnosis of
hematological diseases. Many Deep Learning algorithms have been implemented to …