Foundation models are used to train a broad system of general data to build adaptations to
new bottlenecks. Typically, they contain hundreds of billions of hyperparameters that have …

Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

Predictive maintenance for power electronic converters has emerged as a critical area of
research and development. With the rapid advancements in deep-learning techniques, new …

Recent years have witnessed an increased attack surface of the Industrial Internet of Things
(IIoT), as the deep convergence of the Internet of Things (IoT) and other information and …

Data-driven methods, such as deep learning, are widely adopted to detect cyberattacks for
Industrial control systems (ICSs). Due to the neglect of entity spatial relationships (ESR) …

Due to the low inertia of inverter-based islanded microgrids (IMGs), these systems require a
delicate and accurate load frequency control (LFC) scheme. The deployment of such a …

In this article, we address the cyber-security problem of industrial control systems (ICSs)
when their sensor measurements may be compromised due to an attacker who has …

The digitization of the water sector has led to the emergence of Smart Water Metering
Networks (SWMNs), which enable automated and continuous water consumption …

Critical infrastructure, such as water treatment facilities, largely relies on the effective
functioning of industrial control systems (ICSs). Due to the wide adoption of high-speed …

Accurate detection of process anomalies is crucial for maintaining reliable operations in
critical infrastructures such as water treatment plants. Traditional methods for creating …