The growing number of low-power smart devices in the Internet of Things is coupled with the
concept of “edge computing” that is moving some of the intelligence, especially machine …

Industry 4.0 has become a crucial part in the majority of processes, components, and related
modelling, as well as predictive tools that allow a more efficient, automated and sustainable …

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …

Automated decision-making techniques play a crucial role in data science, AI, and general
machine learning. However, such techniques need to balance accuracy with computational …

Business cannot just boot up with Microsoft Excel, make a graph and call it good. Traditional
spreadsheets and analytical software are not capable of managing and processing Big data …

The use of big data analytics has become pervasive in the fashion retail industry to
understand and influence consumer behavior. By collecting and analyzing different types of …

The purpose of this chapter is to identify big data enablers in Service Operations
Management (SOM) and to analyze the interactions between them. First, we identify forty …

With the increase of the operating time of sulphur hexafluoride (SF6) electrical equipment,
the different degrees of discharge may occur inside the equipment. It makes the insulation …

Feature selection and its subsequent dimensionality reduction are significant problems in
machine learning and it is at the core of several data science techniques. The 'shape'of data …

Abstract Since the Turing Test was proposed in the 1950s, humanity began exploring
artificial intelligence, with an aim to bridge the interaction gap between machines and …