Urban sensors are an important part of urban infrastructures and are usually heterogeneous.
Urban sensors with different uses vary greatly in hardware structure, communication …

Recent years have witnessed the exponential growth of time series data as the popularity of
sensing devices and development of IoT techniques; time series classification has been …

Cyber–physical systems (CPS), as the cornerstone of smart city, has been attracting great
interest from academia and industry. It aims to monitor/control physical components via …

Nowadays, with the proliferation of IoT (Internet of Things), we have gradually entered into a
new IoE (Internet of Everything) era, in which billions of connected devices in widespread …

Along with the coming of Internet of Everything era, massive numbers of pervasive
connected devices in various fields are continuously producing oceans of time series stream …

With the proliferation of IoMT (Internet of Medical Things), billions of connected medical
devices are constantly producing oceans of time series sensor data, dubbed as time series …

With the rapid development of information technology, we have already access to the era of
big data. Time series is a sequence of data points associated with numerical values and …

With large deployment of wireless sensor networks, anomaly detection for sensor data is
becoming increasingly important in various fields. As a vital data form of sensor data, time …

Streaming time series retrieval (TSR) has been widely concerned in academia and industry.
Considering the large volume, high dimensionality and continuous accumulation features of …

Internet of Things (IoT) devices generate heterogeneous data over time; and relying solely
on individual data points is inadequate for accurate analysis. Segmentation is a common …