The arrival of the intelligent manufacturing and industrial internet era brings more and more
opportunities and challenges to modern industry. Specifically, the revolution of the …

With the rapid development of ambient intelligence (AmI) in the Internet of Things (IoT),
many data streams are generated from sensing devices in intelligent scenarios. Due to the …

In recent years, growing research interest from both industry and academia has been
aroused to the vehicular networks, which is regarded as the fundamental component of the …

Modern vehicles, including autonomous vehicles and connected vehicles, have adopted an
increasing variety of functionalities through connections and communications with other …

The deep unsupervised time-series anomaly detector depends on the one-class
representation, which is more effective by only formulating the normal samples. However …

The abnormality of system behavior is inevitable in cloud computing because of its
complexity and scale. How to perform anomaly detection on the system's operating data to …

Device‐free localization technology aims to find a target by analyzing the signal strength
difference between transmitter and receiver deployed in the target area in advance. Up to …

Abstract Machine Learning techniques for network-based intrusion detection are widely
adopted in the scientific literature. Besides being highly variable, network traffic behavior …

Unmanned Aerial Vehicles have proven to be helpful in domains like defence and
agriculture and will play a vital role in implementing smart cities in the upcoming years …

Trace is widely used to detect anomalies in distributed microservice systems because of the
capability of precisely reconstructing user request paths. However, most existing trace …