The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as
the new ones on the way of advanced digitalization enable delivering enhanced, value …

This paper presents the architectural design and implementation of DIGICOR—a
collaborative Industry 4.0 (I4. 0) platform aimed at enabling SMEs to dynamically form supply …

The importance of data is increasing along its inflation in our world today. In the big data era,
data is becoming a main source for innovation, knowledge and insight, as well as a …

The rise in the service economy has been fueled by breakthroughs in technology,
globalization, and evolving consumer patterns. However, this sector faces various …

Smart urban transportation management can be considered as a multifaceted big data
challenge. It strongly relies on the information collected into multiple, widespread, and …

Communication operators are paying more and more attention to the value of data and are
demanding more and bigger data technologies. Many companies have started to take …

Medical data processing has found a new dimension with the extensive use of machine-
learning techniques to classify and extract features. Machine learning strongly benefits from …

Nowadays, the big data paradigm is consolidating its central position in the industry, as well
as in society at large. Lots of applications, across disparate domains, operate on huge …

The Internet of things has produced several heterogeneous devices and data models for
sensors/actuators, physical and virtual. Corresponding data must be aggregated and their …

Privacy by design is nowadays recognized as essential in bringing data privacy into
software systems. However, developers still face many challenges in reconciling privacy and …