Software Defined Networking (SDN) has many advantages over a traditional network. The
great advantage of SDN is that the network control is physically separated from forwarding …

Background Patients with diabetes are more likely to be predisposed to fractures compared
to those without diabetes. In clinical practice, predicting fracture risk in diabetics is still …

The textile bleaching process that involves hot hydrogen peroxide (H 2 O 2) solution is
commonly practised in cotton fabric manufacture. The purpose of the bleaching process is to …

Privileged information, a form of prior knowledge, can significantly enhance traditional
machine learning performance through a novel paradigm known as learning using …

Advances in machine learning technologies have led to increasingly powerful models in
particular in the context of big data. Yet, many application scenarios demand for robustly …

Abstract Software Defined Network (SDN) system controller stands with excessive benefits
from the separated promoting devices. The SDN will resolve security issues, inheritance …

Support Vector Machine (SVM), is a popular and efficient classification algorithm in machine
learning (ML) paradigm. However, the kernel-based dependency of the SVM algorithm …

In allusion to the characteristics of complex structure of rescue lifting vehicle, the poor
independence of working condition and fault data, and the difficulty in fault diagnosis, we …

Research interests have indicated over the years that software-defined network (SDN) has a
great advantage over the traditional network. The benefit of SDN is the ability of the network …

With the wide use of graph convolution network (GCN) in various NLP tasks, researchers
introduce GCN to aspect-based sentiment analysis. They utilize GCN over dependency tree …