Ransomware continues to pose a significant threat to cybersecurity by extorting money from
users by locking their devices and personal data. The attackers force the payment of a …

Time series are a kind of streaming data, which are chaotic and sequential. As real-world
time series data are often not available at once and drift with time growth, Incremental …

This study was focused on predicting the temperature of power transformers, which is a
critical factor affecting their reliability and efficiency. Existing methods typically use a static …

Abstract Recent Demand Response (DR) struggles with the end user's uncertainty in Electric
Power Consumption (EPC), which affects the system's generation costs and stability …

Short-term load forecasting is a prerequisite and basis for power system planning and
operation and has received extensive attention from researchers. To address the problem of …

Simulation tools play crucial roles in the stable implementation of space missions during
satellite operations; they are typically utilized for satellite behaviour monitoring by comparing …

The interconnection of instruments (ie, actuators and sensors) networked together for
industrial applications brings about the Industrial Internet of Things (IIoT). This connectivity …

In the context of labour shortages and an aging population, it is important to support
knowledge transfer from experienced workers. Sometimes, this can be done through …

Emerging machine-learning (ML) methodology has been overcoming the challenging task of
analyzing the process variation effect of nanoscale devices using 3-D stochastic device …

Edge-based intelligent data analytics supports the Industrial Internet of Things (IIoT) to
enable efficient manufacturing. Incremental learning in the edge-based data analytics has …