In the context of the big data era, time series data present the characteristics of high
dimensionality and nonlinearity, which bring great challenges to the prediction of …

Nowadays, systems or entities are usually monitored by devices, generating large amounts
of time series. Detecting anomalies in them help prevent potential losses, thus arousing …

In the modern world, it will be necessary to deploy a large number of sensor devices to
sense everything around us in order to detect changes, risks, and hazards and to mitigate …

Nowadays, the number of Internet of things (IoT) devices has rapidly increased due to their
increasing use in different real-world applications. The sensor devices represent the basic …

The recent development of wireless wearable sensor networks offers a spectrum of new
applications in fields of healthcare, medicine, activity monitoring, sport, safety, human …

Data aggregation is an effective traffic-saving solution in Wireless Sensor Networks. A group
of aggregation functions are proposed to save traffic and network capacity, thereby …

A large number of sensors are typically installed in industrial plants to collect real-time
operational data. These sensors monitor data with time series correlation and spatial …

During the operation of a gas turbine, there are many key parameters that are difficult to
directly measure or to ensure measurement accuracy, which can only be measured by …

针对电源车由于运行环境复杂而容易发生传感器故障的问题, 提出了一种基于时空相关性的
传感器故障检测和数据重构方法. 针对单个传感器运行数据的时序关系特征 …

Aiming at the problem that the power supply vehicle is prone to sensor fault due to the
complex operating environment, a sensor fault detection and data reconstruction method …