Compared with common deep learning methods (eg, convolutional neural networks),
transfer learning is characterized by simplicity, efficiency and its low training cost, breaking …

Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …

An important area of computer vision is real-time object tracking, which is now widely used
in intelligent transportation and smart industry technologies. Although the correlation filter …

variety of tools and technologies. It is referred as a Bwall-less research center^, where all
research activities are performed in a distributed network environment [2]. With more …

In social network big data scheduling, it is easy for target data to conflict in the same data
node. Of the different kinds of entropy measures, this paper focuses on the optimization of …

Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …

With the development of society, the number of old people is increasing. Slow response,
osteoporosis and vision loss threaten the health of the elderly. The fall of this problem is an …

This paper proposes a personalized learning resource recommendation method based on
dynamic collaborative filtering algorithm. Pearson correlation coefficient is used to calculate …

During the process of fine segmentation of medical images, although a single threshold can
improve the efficiency of processing, there will be the problem of fuzzy features and non …

Privacy in the realm of data mining known as PPDM has become a hot topic in both
academic research and industry due to the fact it can discover implicit rules as well as hide …