Detection of dynamical complexity variations in heart rate signals during meditation practice
can be considered as an important criterion for further understanding cardiovascular …

Deep neural networks have shown promising results in the classification of skin lesion
images, particularly when they focus on the most significant regions of an image. However …

Improving the quality of food industries and the safety and health of the people's nutrition
system is one of the important goals of governments. Fish is an excellent source of protein …

Existing landmark retrieval models typically fuse global and local feature descriptors of
target images to generate feature vectors for landmark retrieval. However, these models …

The objective of this article is to investigate a computer-assisted approach to brand logo
design, leveraging the capabilities of the generative confrontation network. This addresses …

With the development of information technology and modern commercialization, advertising
is no longer a single carrier of information and product value but an industry that caters to …

With the improvement of modern science and technology, more and more artistic design
elements and traditional decorative styles are integrated, and people's vision is also …

The core problem of this study is how to effectively integrate Neural Networks (NN) and
computer vision algorithms to design a more intelligent and efficient CAD system for art. In …

The purpose of this paper is to explore the integration of multimodal data and CAD co-
design technology in the field of art design. Firstly, the background and significance of this …

Initially, this article delves into the obstacles encountered in graphic design, particularly the
difficulties in anticipating design outcomes, along with the pivotal role played by CAD …