Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …

Abstract The Fourth Industrial Revolution, also known as Industry 4.0, represents the rise of
digital industrial technology that is propagating at an exponential rate compared to the …

The huge amount of data being handled today in any environment, such as energy,
economics or healthcare, makes data management systems key to extracting information …

In this paper we have addressed the extraction of hidden knowledge from medical records
using data mining techniques such as association rules in conjunction with fuzzy logic in a …

The enormous amount of data generated by sensors and other data sources in modern grid
management systems requires new infrastructures, such as IoT (Internet of Things) and Big …

Data-driven technologies in smart buildings offer significant opportunities to enhance energy
efficiency, sustainability, and occupant comfort. However, the existing literature often lacks a …

Abstract Net Zero Energy Buildings (NZEB) represent a significant opportunity to reduce
building energy consumption and achieve the climate and energy goals that will be …

Pre-processing and analysis of sensor data present several challenges due to their
increasingly complex structure and lack of consistency. In this paper, we present TSxtend, a …

Background There is an increasing interest in big data. However, challenges shape and
affect the gathering, retrieval, use and management of big data in many organisations. Some …

Amidst the rapid transformation of the electricity supply and demand structure, there has
been a consensus among policy makers on the need for further refinement of the time-of-use …