This paper constructs a sports action recognition model based on deep learning (DL) and
clustering extraction algorithm. For the input detection image frame, athletes' movements are …

Clustering techniques have been instrumental in discerning patterns and relationships
within datasets in data analytics and unsupervised machine learning. Traditional clustering …

To prevent the abuse of low‐rate speech‐based steganography from threatening
cyberspace security, the corresponding steganalysis approaches have been developed and …

In the adaptive finite element method, the goal is to achieve the desired accuracy with the
minimum degrees of freedom. Thus, mesh refinement is required to adjust the mesh size to …

The elastic net combines lasso and ridge regression to fuse the sparsity property of lasso
with the grouping property of ridge regression. The connections between ridge regression …

When service business is in evolution from B2B to B2C model, a cold-start problem raises
for service composition due to the completely new clients with no historical records …

The elastic net combines lasso and ridge regression to fuse the sparsity property of lasso
with the grouping property of ridge regression. The connections between ridge regression …

This technical summary is structured as follows. First, we provide an introduction of the
context and motivations of this work, including the objectives set for the thesis. After that, a …