This paper presents a summary of mechanisms for the evolution of artificial intelligence in
'internet of things' networks. Firstly, the paper investigates how the use of new technologies …

One of the main goals of Industry 4.0 is to anticipate machine breakdowns. Being able to
prevent failures is important because downtime implies high cost and production loss. For …

Recommender systems (RSs) play a very important role in web navigation, ensuring that the
users easily find the information they are looking for. Today's social networks contain a large …

Edge Computing (EC) emerges as an alternative to process the large volume of data
generated by devices connected to the Internet, through the Internet of Things (IoT). This …

The diversity of devices, equipment, sensor networks connected to the Internet, and the
paradigm of Industry 4.0; have increased the challenge for the development of architectures …

In the era of Industry 4.0, cognitive computing and its enabling technologies (Artificial
Intelligence, Machine Learning, etc.) allow to define systems able to support maintenance by …

The advances in data computing and analysis methodologies have contributed to the added
value of data. Several years ago it was difficult to imagine that we would ever be able to …

This article presents the design and development of an innovative multi-agent system (MAS)
composed of various subsystems of agents grouped by similarity in their tasks. The …

The paper aims to propose an Expert System to predict the failure of onshore pipelines.
Knowledge Management supports expertise sharing throughout the organization. The …

This paper scrutinises the evolving digital security landscape, encompassing technological
advancements, regulatory frameworks, and industry-specific challenges. It explores the …