The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …

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

The growing complexity of data derived from Industrial Internet of Things (IIoT) systems
presents substantial challenges for traditional machine-learning techniques, which struggle …

The integration of generative Artificial Intelligence (AI) systems, such as ChatGPT, into the
construction industry represents a transformative force with profound implications. This …

Anomaly detection without employing dedicated sensors for each industrial machine is
recognized as one of the essential techniques for preventive maintenance and is especially …

Universities play an essential role in preparing human resources for the industry of the
future. By providing the proper knowledge, they can ensure that graduates will be able to …

The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

The maritime industry, responsible for moving approximately 90% of the world's goods,
significantly contributes to environmental pollution, accounting for around 2.5% of global …

In recent years, the architecture, engineering, construction, and facility management (FM)
industries have been applying various emerging digital technologies to facilitate the design …