The complex future power plants require digital twin (DT) architecture to achieve high
reliability, availability and maintainability at lower cost. The available research on DT for …

Nowadays, reconfiguration and adaptation by means of optimal re-parameterization in
Industrial Cyber-Physical Systems (ICPSs) is one of the bottlenecks for the digital …

Optimization of operations and maintenance (O&M) in the industry is a topic that has been
largely studied in the literature. Many authors focused on reliability-based approaches to …

This paper focuses on motion analysis of a coupled unmanned surface vehicle (USV)–
umbilical cable (UC)–unmanned underwater vehicle (UUV) system to investigate the …

Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Wireless mesh networks consist of various mesh clients that are organized in an unfixed
infrastructure and packets are forwarded using a multi-hop model. Routing protocols have a …

Two main approaches exist when deploying a Convolutional Neural Network (CNN) on
resource-constrained IoT devices: either scale a large model down or use a small model …

The enhancement of security management for smart manufacturing has garnered
considerable attention, prompting extensive research efforts that explore AI-based secure …

The recent social trends and accelerated technological progress culminated in the
development of autonomous vehicles (AVs). Reliability assessment for AV systems is in high …

Traffic speed prediction plays a significant role in the intelligent traffic system (ITS). However,
due to the complex spatial-temporal correlations of traffic data, it is very challenging to …