Abstract The Internet of Things (IoT) is expected to grow faster than any other category of
connected devices. IoT allows any device with an on-and-off switch to connect to the internet …

The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …

In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …

The Internet of Things is generating an enormous amount of data. Analyzing and managing
that data requires programming and statistical approaches. Big Data technology operates on …

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …

In the last five years, edge computing has attracted tremendous attention from industry and
academia due to its promise to reduce latency, save bandwidth, improve availability, and …

A precise prediction of the health status of industrial equipment is of significant importance to
determine its reliability and lifespan. This prediction provides users information that is useful …

The expected huge increase in the number of IoT data sources (sensors, embedded
systems, personal devices etc.) will give rise to network-edge computing, ie, data pre …

Sensors, wearables, mobile and other Internet of Thing (IoT) devices are becoming
increasingly integrated in all aspects of our lives. They are capable of collecting massive …

Rapid growth in numbers of connected devices including sensors, mobile, wearable, and
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …