AI, IoT, Big Data and Cloud Computing for Industry 4.0
- Indbinding:
- Hardback
- Sideantal:
- 604
- Udgivet:
- 1. august 2023
- Udgave:
- 23001
- Størrelse:
- 160x38x241 mm.
- Vægt:
- 1062 g.
- 8-11 hverdage.
- 11. december 2024
På lager
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af AI, IoT, Big Data and Cloud Computing for Industry 4.0
This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as ¿Industry 4.0.¿ The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture.
Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporatedin Industry 4.0 applications
Motivates readers to address challenges in the areas of speech communication and signal processing
Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML
Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporatedin Industry 4.0 applications
Motivates readers to address challenges in the areas of speech communication and signal processing
Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML
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