With the rapid growth of Internet data traffic, the means of malicious attack become more
diversified. The single modal intrusion detection model cannot fully exploit the rich feature …

Alzheimer's, or so-called dementia, is one of the types of diseases that affects brain cells and
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …

Most of the recent research has focused on the Internet of Things (IoT) and its applications.
The open interface and network connectivity of the interconnected systems under the IoT …

Network pruning facilitates the deployment of convolutional neural networks in resource-
limited environments by reducing redundant parameters. However, most of the existing …

To address the problems of low prediction accuracy and slow convergence of the network
security posture prediction model, a population intelligence optimization algorithm is …

Network anomaly detection faces unique challenges from dynamic traffic, including large
data volume, few attributes, and human factors that influence it, making it difficult to identify …

Vehicle gearboxes are subject to strong noise interference during operation, and the noise
in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis …

In our research, we present a data mining model for the early diagnosis of hyperinsulinemia,
potentially reducing the risk of diabetes, heart disease, and other chronic conditions. The …

In this paper, a cutting-edge video target tracking system is proposed, combining feature
location and blockchain technology. The location method makes full use of feature …

Stream data mining aims to handle the continuous and ongoing generation of data flows (eg
weather, stock and traffic data), which often encounters concept drift as time progresses …