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Machine learning approaches for convergence of IoT and Blockchain /

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be comp...

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Détails bibliographiques
Cote:Libro Electrónico
Autres auteurs: Singh, Krishna Kant (Telecommunications professor), Singh, Akansha, Sharma, Sanjay K.
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2021.
Sujets:
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Description
Résumé:The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere. This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.
Description:5.1 Functionality of Image Analytics.
Description matérielle:1 online resource (256 pages)
Bibliographie:Includes bibliographical references and index.
ISBN:9781119761884
1119761883
9781119761808
1119761808
1119761875
9781119761877