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B01=BISWAJIT BRAHMA
B01=JOSEPH BAMIDELE AWOTUNDE
B01=Kamalakanta Muduli
Category1=Non-Fiction
Category=THR
Category=TJF
Category=TJKW
Category=UB
Category=UNF
Category=UT
Category=UYQ
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Computational Intelligence in Industry 4.0 and 5.0 Applications: Trends, Challenges and Applications

English

Industry 4.0 and 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 in Industry 4.0 and 5.0 Applications examines 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, 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 5.0 are undergoing significant transformations due to advances in applying AI, big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such 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 5.0 systems.

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Current price €160.54
Original price €168.99
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Age Group_Uncategorizedautomatic-updateB01=BISWAJIT BRAHMAB01=JOSEPH BAMIDELE AWOTUNDEB01=Kamalakanta MuduliCategory1=Non-FictionCategory=THRCategory=TJFCategory=TJKWCategory=UBCategory=UNFCategory=UTCategory=UYQCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 06 Feb 2025

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Feb 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032539225

About

Joseph Bamidele Awotunde is Lecturer II at the Computer Science Department University of Ilorin Ilorin Nigeria. He is the author of more than 40 articles 30 chapters in book and more than 25 conference proceedings.Kamalakanta Muduli is an Associate Professor in Papua New Guinea University of Technology. Biswajit Brahma is a Senior Data Engineer at McKesson USA.

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