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Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 by Joseph Bamidele Awotunde, Kamalakanta Muduli, Biswajit Brahma

• Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0
• Joseph Bamidele Awotunde, Kamalakanta Muduli, Biswajit Brahma
• Page: 484
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781040348116
• Publisher: CRC Press

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Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.

Computational Intelligence in Industry 4.0 and 5.0 Applications
Trends, Challenges and Applications, E-Book , PDF / DRM Adobe (E-Book), Awotunde, Joseph Bamidele, 423 Seiten.
Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid
Industry 4.0 proclaims transition to digitalization and automation of processes while emerging Industry 5.0 emphasizes human centricity.
Computational Intelligence in Industry 4.0 and 5.0 Applications - CFP
CI-Industry-4.0 is intended to discuss the critical Computational Intelligence application in Industry 4.0 and 5.0. First, the book will critically examine .
Computational Intelligence for Analysis of Trends in Industry 4.0 and .
The book explores the intersection of cutting-edge technologies and industrial trends. Researching Artificial Intelligence, machine learning, .
[PDF] Industry 4.0 - OAPEN Library
In this fourth industrial revolution, the analysis and testing of the product is done before it goes to the market, not after, which allows for the opportunity .
Computational Intelligence in Industry 4.0 and 5.0 Applications
Computational Intelligence in Industry 4.0 and 5.0 Applications: Trends, Challenges and Applications 9781040275443, 9781032539225, 9781032948386, 9781003581963.

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