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Topics in Artificial Intelligence Applied to Industry 4.0
Hoofdkenmerken
Auteur: Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise AL-Ghamdi, Swetta Kukreja
Titel: Topics in Artificial Intelligence Applied to Industry 4.0
Uitgever: Wiley Global Research (STMS)
ISBN: 9781394216130
ISBN boekversie: 9781394216116
Editie: 1
Prijs: € 123,49
Verschijningsdatum: 28-03-2024
Inhoudelijke kenmerken
Categorie: Intelligence (AI) & Semantics
Taal: English
Imprint: Wiley-Blackwell
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

\u003cb\u003eTopics in Artificial Intelligence Applied to Industry 4.0\u003c/b\u003e \u003cp\u003e \u003cb\u003eForward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 \u003c/b\u003e \u003cp\u003e\u003ci\u003eTopics in Artificial Intelligence Applied to Industry 4.0 \u003c/i\u003ediscusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. \u003cp\u003eThe text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. \u003cp\u003eWritten by highly qualified authors, \u003ci\u003eTopics in Artificial Intelligence Applied to Industry 4.0 \u003c/i\u003eexplores sample topics such as: \u003cul\u003e\u003cli\u003eQuantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data \u003c/li\u003e\u003cli\u003eComputer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations \u003c/li\u003e\u003cli\u003eNovel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment \u003c/li\u003e\u003cli\u003eFuture professions in agriculture, medicine, education, fitness, R\u0026D, and transport and communication as a result of new technologies \u003c/li\u003e\u003c/ul\u003e \u003cp\u003eAimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, \u003ci\u003eTopics in Artificial Intelligence Applied to Industry 4.0 \u003c/i\u003eprovides the perfect overview of technology from the perspective of modern society and operational environment.
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