In an actual industrial scenario, machines typically operate normally for the majority of the
time, with malfunctions occurring only occasionally. As a result, there is very little recorded …

The important foundation for water resource management and utilization is effective monthly
runoff prediction. In this study, a new coupled model for predicting monthly runoff is …

Abstract Intrusion Detection Systems (IDS) have become pivotal in safeguarding information
systems against evolving threats. Concurrently, Concept Drift presents a significant …

Ultrasound is considered as an effective nondestructive testing method. This review paper
discusses the potential of ultrasonic techniques for defect detection and fractures in …

Detecting faults in high-speed and high-power diesel engines under complex variable
operating conditions is highly challenging. Online vibration monitoring systems have been …

Software quality evaluation (SQE) is a multi-dimensional decision-making problem. The
increasingly complex socioeconomic environment has made group decision making (GDM) …

Reinforcement learning is capable of providing state-of-art performance in end-to-end
robotic control tasks. Nevertheless, many real-world control tasks necessitate the balancing …

The focus of this paper is to improve short-term load forecasting for electric power. To
achieve this goal, the study explores and evaluates hybrid models, specifically using the …

This paper presents an investigation of the sliding-mode secure control for nonlinear semi-
Markov jump systems in the presence of non-periodic denial-of-service attacks and false …

Several artificial intelligence (AI) technologies have been applied to assist in the selection of
suitable three-dimensional (3D) printing facilities in ubiquitous manufacturing (UM) …