[HTML][HTML] Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)

M Javaid, A Haleem, RP Singh, S Rab, R Suman - Sensors International, 2021 - Elsevier
Now a day's manufacturing has become more intelligent and data-driven. A smart
production unit can be thought of as a powerful connected industrial system with materials …

Industrial design and development software system architecture based on model-based systems engineering and cloud computing

YU Chao, LI Qing, LIU Kui, C Yuwen… - Annual Reviews in …, 2021 - Elsevier
Oriented to the new generation of cyber-physical manufacturing, this paper introduces two
breakthroughs of industrial design and development software system: model-based systems …

TIP4. 0: industrial internet of things platform for predictive maintenance

C Resende, D Folgado, J Oliveira, B Franco, W Moreira… - Sensors, 2021 - mdpi.com
Industry 4.0, allied with the growth and democratization of Artificial Intelligence (AI) and the
advent of IoT, is paving the way for the complete digitization and automation of industrial …

In-depth analysis and open challenges of Mist Computing

JJ López Escobar, RP Díaz Redondo… - Journal of Cloud …, 2022 - Springer
The advent and consolidation of the Massive Internet of Things (MIoT) comes with a need for
new architectures to process the massive amount of generated information. A new …

Modeling of a generic edge computing application design

PJ Roig, S Alcaraz, K Gilly, C Bernad, C Juiz - Sensors, 2021 - mdpi.com
Edge computing applications leverage advances in edge computing along with the latest
trends of convolutional neural networks in order to achieve ultra-low latency, high-speed …

Edge computing and digital twin based smart manufacturing

J Protner, M Pipan, H Zupan, M Resman, M Simic… - IFAC-PapersOnLine, 2021 - Elsevier
This paper presents a novel approach to implement smart manufacturing concepts based on
the edge computing paradigm using a distributed network of interconnected manufacturing …

[HTML][HTML] Random forest-based ensemble machine learning data-optimization approach for smart grid impedance prediction in the powerline narrowband frequency …

E Oyekanlu, J Uddin - Deterministic Artificial Intelligence, 2020 - intechopen.com
In this chapter, the random forest-based ensemble regression method is used for the
prediction of powerline impedance at the powerline communication (PLC) narrowband …

[PDF][PDF] Edge Networks the Future of Cloud Computing

S McGrath, C Flanagan, X Liu, L Quinn… - Proceedings of 38th …, 2023 - easychair.org
Computing architecture continues the pendulum swing between centralized and distributed
models–driven by technological innovation in CPU/GPU architecture, memory/storage, I/O …

IIoT Design Methodology and Its Applications

S Alphonse, S Abinaya, AB Mary - Emerging Technologies in Digital …, 2024 - igi-global.com
Abstract Information and communication technology (ICT) is being used in industrialised
countries to develop a range of cutting-edge services and apps that address the problems …

Internet of Things and Sensor Networks in Industry 5.0

A Sharma, P kumar Singh, S Kesarwani… - … Technologies in Digital …, 2023 - books.google.com
In the era of Industry 5.0, the seamless integration of the internet of things (IoT) and sensor
networks has become a revolutionary force that plays a crucial role in connecting devices …