Wireless sensor networks (WSNs) consist of small sensors with limited computational and
communication capabilities. Reading data in WSN is not always reliable due to open …

When applying artificial intelligence technology to quantitative trading, high noise and
unpredictability of market environment are the first practical problems to be considered …

The pattern-based anomaly detection method has obtained more attention since it was
proposed. This is due to its ability to fully identify anomalies by considering two key features …

Time series classification exists in widespread domains such as EEG/ECG classification,
device anomaly detection, and speaker authentication. Although many methods have been …

Fraudulent activity within a financial ecosystem often involves the coordinated efforts of
several bad actors. Expressing the interactions between participants in a system as a …

Most of time series deriving from complex systems in real life is non-stationary, where the
data distribution would be influenced by various internal/external factors such that the …

Upwelling has profound effects on nearshore tropical ecosystems, but our ability to study
these patterns and processes depends on quantifying upwelling dynamics in a repeatable …

As continuous glucose monitoring (CGM) systems provide critical feedback information of
blood glucose concentration to the artificial pancreas for patients with type 1 diabetes (T1D) …

Data centers' information systems typically encompass a variety of operational objects
including applications, systems, networks, and devices, which generate a large volume of …

The stability and integrity of the monitoring data in the energy system of the iron and steel
industry is of great significance for ensuring the safety of the system. Aiming at the data with …