Over the past couple of decades, many telecommunication industries have passed through
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …

A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-
variational mode decomposition-support vector machine (WGWOA-VMD-SVM) was …

In order to investigate the probabilistic damage distribution under creep-fatigue interaction,
machine learning framework with the divide-and-conquer methodology is proposed to …

Predicting cyber threats is crucial for uncovering underlying security risks and proactively
preventing malicious attacks. However, predicting cyber threats and demystifying the …

From the growing popularity of Android smart devices, and especially with the recent
advances brought on by the COVID-19 pandemic on digital adoption and transformation, the …

Broaching tool condition monitoring is the basis of intelligent manufacturing of high-end
broaching equipment. There are still technical bottlenecks in tool wear recognition accuracy …

The precise control of liquid steel temperature in the ladle furnace (LF) refining process is
vital for stabilizing and improving the quality of liquid steel, necessitating a capable …

Particle swarm optimization (PSO) tends to fall into local optimum during the high-
dimensional optimization process To address this limitation, a hybrid optimization approach …

The portfolio optimization problem with cardinality constraint is usually solved by exact
algorithms, heuristic algorithms, or combinations of them. We decompose the cardinality …

IoT devices are naturally vulnerable to security issues such as botnet attacks that lead to
compromised data. Due to the proliferation of network traffic, the existing system …