The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …

Predictive maintenance plays an important role in managing commercial buildings. This
article provides a systematic review of the literature on predictive maintenance applications …

In the context of Industry 4.0, process automation and predictive maintenance play an
essential role. There is a need to provide more effective and faster maintenance through the …

Heating appliances consume approximately 48% of the energy spent on household
appliances every year. Furthermore, a malfunctioning device can increase the cost even …

The variety of a hospital's users leads to different levels of requirements relating to indoor
environmental conditions. The responsibility for generating these favourable conditions for …

In the automotive industry, multiple predictive maintenance units run behind the scenes in
every production process to support significant product development, particularly among …

The recent advancements in sensor, big data, and artificial intelligence (AI) have introduced
digital transformation in the manufacturing industry. Machine maintenance has been one of …

Non-intrusive remote monitoring has its applications in a variety of areas. For industrial
surveillance case, devices are capable of detecting anomalies that may threaten machine …

Buildings' heating, ventilation, and air-conditioning (HVAC) systems account for significant
global energy use. Proper maintenance can minimize their environmental footprint and …

In the context of the current technological progress, big data arises as a compelling research
topic. This paper presents non-traditional analysis strategies like exploiting data semantics …