Crowdsensing is an emerging data collection paradigm that enables data collected from a
large number of Internet of Things devices to support effective decision-making. Anomaly …

Network Function Virtualisation (NFV) advances the adoption of composable software
middleboxes. Accordingly, cloud data centres become major NFV vendors for enterprise …

Anomaly detection has practical significance for finding unusual patterns in time series.
However, most existing algorithms may lose some important information in time series …

IoT devices have become indispensable components of our lives, and the advancement of
AI technologies will make them even more pervasive, increasing the vulnerability to …

Data modeling of health-related data from Data Center (DC) has positive effects for health
monitoring, disease prevention, and healthcare research. However, health-related data has …

In recent years, deep neural networks (DNNs) have achieved great success in many areas
and have been deployed as cloud services to bring convenience to people's daily lives …

This article focuses on the implementation of equipment control in the Internet of Things
monitoring system due to the change of environmental parameters. When the abnormal …