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 …

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 …

Abstract Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed
through construction project management, is increasingly recognized for its significance …

The service stability of industrial robots (IRs) is considered the basis for ensuring intelligent
manufacturing operations. Knowledge-based work plays a central role in the practical …

Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

Abstract Machine learning (ML) has recently enabled many modeling tasks in design,
manufacturing, and condition monitoring due to its unparalleled learning ability using …

Automated fault detection and diagnosis (AFDD) plays a crucial role in enhancing the
energy efficiency of air-conditioning systems; its quantitative impact has gained greater …

Distribution grids must be regularly updated to meet the global electricity demand. Some of
these updates result in fundamental changes to the structure of the grid network. Some …

With the COVID-19 outbreak, schools and universities have massively adopted online
learning to ensure the continuation of the learning process. However, in such setting …

Nowadays, the modern production machines are usually equipped with advanced sensors
to collect the data which can be further analyzed because of the advent of Industry 4.0. This …