In recent years, deep learning algorithms have rapidly revolutionized artificial intelligence,
particularly machine learning, enabling researchers and practitioners to extend previously …

Automating the monitoring of industrial processes has the potential to enhance efficiency
and optimize quality by promptly detecting abnormal events and thus facilitating timely …

In order to evaluate final quality, nondestructive testing techniques for finding bearing flaws
have grown in favor. The precision of image processing-based vision-based technology has …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

Featured Application An application of this research is UAV identification (in terms of make
and model) based upon a malicious UAV report that includes a photo of the suspicious UAV …

Abstract The Global Navigation Satellite System (GNSS) provides precise Positioning,
Navigation, and Timing (PNT) service for various industries such as military and national …

In this study, the modern tool of machine learning is used to address an old problem from a
new perspective. Traditionally, the scientific basis for determining bioequivalence is based …

In the realm of renewable energy, wind turbines play a pivotal role in efficiently harnessing
wind power, especially in offshore environments, where their significance is amplified …

Machines in factories are typically operated 24 ha day to support production, which may
result in malfunctions. Such mechanical malfunctions may disrupt factory output, resulting in …

Fault diagnosis of industrial processes plays an important role in avoiding heavy losses and
ensuring production safety. Complex industrial processes often have many working …