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

The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

The Internet of Things (IoT) grew in popularity in recent years, becoming a crucial
component of industrial, residential, and telecommunication applications, among others …

The biggest challenge for architecture designers is the time required for the design process.
Especially landscape architects who have different work limits from architects in general. In …

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 …

In mobile edge computing systems, a task offloading approach should balance efficiency,
adaptability, trust management, and reliability. This approach aims to maximise resource …

Our contemporary society has never been more connected and aware of vital information in
real time, through the use of innovative technologies. A considerable number of applications …

The Internet of Things (IoT) integration with wireless sensor networks (WSNs) used in
various applications like smart cities, smart transportation, smart agriculture and real-time …

Cloud–fog computing is a large-scale service environment developed to deliver fast,
scalable services to clients. The fog nodes of such environments are distributed in diverse …