Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …

Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern
technologies and innovations. Artificial intelligence (AI) can be considered the leading …

Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

In recent years, fog computing has emerged as a computing paradigm to support the
computationally intensive and latency-critical applications for resource limited Internet of …

Assembly systems (ASs) have moved into the era of mass customisation and Industry 4.0 (I4.
0). Mass customisation involves a shift from the production of high quantities of the same …

Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

Industrial process plants have a lifecycle of several decades, and only some of the most
modern plants have digital, machine-readable design information available. For all other …