Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …

Featured Application Maintaining production systems within Industry 4.0 facilitates the
application of artificial intelligence methods, techniques and tools to predict potential failures …

Industrial automation systems are undergoing a revolutionary change with the use of
Internet-connected operating equipment and the adoption of cutting-edge advanced …

The early diagnosis of cancer is crucial to provide prompt and adequate management of the
diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first …

Induction machines (IMs) play a critical role in various industrial processes but are
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …

This study aimed to analyze the impact of key causes of external and internal risk on supply
chains. The basic and most probable causes of the risk are listed, based on literature …

This review will focus on advances in electronic and optoelectronic technologies by through
the analysis of a full research and industrial application scenario. Starting with the analysis …

Time-series forecasting is crucial in the efficient operation and decision-making processes of
various industrial systems. Accurately predicting future trends is essential for optimizing …

The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …