TL;DR
This special issue aims to demonstrate how AI can overcome existing limitations in time-critical computing systems and applications, and to advance the state of the art in AI techniques for these systems.
The paper provides a holistic insight into 5G-powered industrial automation through an extensive literature review, comparative analysis, and well-calculated approach to future research by offering strategic solutions to the research issue.
Results demonstrate that smart sensor-based systems outperform conventional sensing systems in efficiency, fault detection, responsiveness, energy savings, and data accuracy, making them a key enabler of Industry 4.0 and future autonomous engineering applications.
FAA+RTS is a novel solution as it integrates previously-isolated methods for dealing with multiple constraints into a single framework, presenting a single overview of all possible trade-offs to the application designer, resulting in a robust and reliable system.
The findings emphasize that edge-enabled intelligent control can be used to greatly increase the responsiveness of a system, decrease the latency, and increase the overall operational efficiency.
Due to the rapid development of cloud-based Cyber-Physical Systems (CPS) and smart hardware, a large volume of industrial data has been generated, posing challenges related to latency, scalability, and effective hardware-software integration. The paper provides a framework for an AI-enabled hardware-software co-design...
The Internet of Things (IoT) has transformed industrial automation by enabling interconnected systems, real-time data analytics, and intelligent decision-making, paving the way for Industry 4.0. This paper provides an in-depth review of IoT applications in industrial automation, exploring architectures, enabling techno...
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