"Computational Intelligence For Analysis Of Trends In Industry 4.0 And 5.0

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"Computational Intelligence For Analysis Of Trends In Industry 4.0 And 5.0

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Industry 4.0 and Industry 5.0 applications will revolutionize production enabling smart manufacturi…

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260,00$

"Computational Intelligence For Analysis Of Trends In Industry 4.0 And 5.0

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 (IIo T) 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 (Io T) IIo T 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 IIo T sensors microcontrollers and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.