This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …

In today's digital world, information is growing along with the expansion of Internet usage
worldwide. As a consequence, bulk of data is generated constantly which is known to be …

Machine Learning (ML) algorithms process input data making it possible to recognize and
extract patterns from a large data volume. Likewise, Internet of Things (IoT) devices provide …

Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

Voice assistants are spreading in various environments, such as houses and cars, bringing
the possibility of controlling heterogeneous Internet of Things devices with simple voice …

In Big data computing domains with a huge network of connected devices involved in
various internet and social network concerns mainly for security, integrity, authentication and …

A significant rise in the adoption of streaming applications has changed the decision-making
processes in the last decade. This movement has led to the emergence of several Big Data …

Modern (industrial) domains are based on large digital ecosystems where huge amounts of
data and information need to be collected, shared, and analyzed by multiple actors working …

The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …

Businesses have begun using IT apps for a variety of reasons in recent years. The rapid
advancement of new technologies has opened up vast prospects for businesses to digitise …