With the vigorous development of new media, the number and variability of communication
events are increasing, and the traditional event clustering methods can no longer meet the …

With the expansion of the use scope of electric power equipment, the prevention and control
of electrical fire is becoming more and more important. Traditional electrofire detection …

Deep Learning-based vine disease detection has garnered significant attention from the
community, particularly with the utilization of UAV multispectral images for grapevine …

Artificial intelligence (AI) is significant in numerous features of our lives, which comprise
healthcare, education, business and more. AI has permitted substantial developments in …

This paper aims to propel the development of the marine economy by proposing a crucial
underwater navigation adaptation zone classification prediction technique. Firstly, through …

In general, high power electronic converters such as Multilevel Inverters (MLI), that find their
use in many applications, create difficulties of augmented switch count, capacitor flow …

The customer churn is referred as number of previous customers who leads to leave the
service provider through particular time. The main goal is to predict churn customers as early …

In spinal surgery, the accuracy and stability of path planning are critical to the success of the
operation. The traditional path planning method relies on preoperative images and doctor's …

With the popularization of the Internet and the rapid development of mobile devices and
wireless networks, e-commerce has received widespread attention as an indispensable part …

The Honey Badger Algorithm-Maximum Correlation Kurtosis Deconvolution with Multi-scale
Feature Fusion ResNet (HBA-MCKD-MFFR) is proposed in this research as the solution to …