Grape is a fruit rich in various vitamins, and grape quality is increasingly highly concerned
with by consumers. Traditional quality inspection methods are time-consuming, laborious …

The massive growth of data in the network leads to attacks or intrusions. An intrusion
detection system detects intrusions from high volume datasets but increases complexities. A …

Nowadays, deep clustering achieves superior performance by jointly performing
representation learning and cluster assignment. Although numerous deep clustering …

Background Crouch gait pattern is a common gait pattern in children with diplegic cerebral
palsy with excessive knee flexion throughout stance phase. Few studies have grouped this …

Abstract Most existing Non-negative Matrix Factorization (NMF) related data clustering
techniques directly decompose the original feature space while have not well considered …

The class of center-based clustering algorithms offers methods to efficiently identify clusters
in data sets, making them applicable to larger data sets. While a data set may contain …

Many measures to quantify the nonlinear dynamics of a time series are based on estimating
the probability of certain features from their relative frequencies. Once a normalised …

Clustering analysis is a common problem in decision-making, and its process often changes
with the environment. Grey incidence is a theoretical method of effective classification, which …

This paper presents a new methodology of wear state recognition by using fractal
parameters, multifractal parameters and recurrence parameters. The relationship between …

The objective of this research is to investigate the feasibility of applying behavioral predictive
analytics to optimize diabetes self-management. This research also presents a use case on …