The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …

Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

Many anomaly detection techniques have been adopted by Industrial Internet of Things
(IIoT) for improving self-diagnosing efficiency and infrastructures security. However, they are …

Many industries, inclusive of the automobile industry, have shifted their attention toward
predictive maintenance. The automobile industry finds predictive maintenance a key player …

Data classification has been considered extensively in different fields, such as machine
learning, artificial intelligence, pattern recognition, and data mining, and the expansion of …

Abstract Machine learning (ML) has become a key technology to leverage the potential of
large data amounts that are generated in the context of digitized and connected production …

In the modern era, the internet of vehicles (IoV) is being utilized in commercial applications
and extensively explored in research. However, internal fault in IoV can cause accidents on …

Abstract The Fourth Industrial Revolution, also known as Industry 4.0, is built on a variety of
technologies, including Artificial Intelligence, the Internet of Things, Cloud Computing …

The hydrophone, also known as an underwater microphone, is placed in industrial tanks
and converts sounds under water (or other liquids) into an electrical analogue signal. The …