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9783030326463: Recent Trends and Advances in Artificial Intelligence and Internet of Things

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ISBN 10 : 3030326462 ISBN 13 : 9783030326463

Editeur : Springer Nature Switzerland AG, 2020

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A 128-Bit Tunable True Random Number Generator with Digital Clock Manager.- Network Monitoring System Using Ping Methodology and GUI.- License Plate Recognition Based On K-Means Clustering Algorithm.

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2020
Langue: anglais
ISBN 10: 3030326462
ISBN 13: 9783030326463
Reliure: Broch�
Nombre de pages: 641
�diteur: Balas Valentina E., Kumar Raghvendra, Srivastava Rajshree
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Recent Trends and Advances in Artificial Intelligence and Internet of Things (eng)

Balas, Valentina E.

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ISBN 10 : 3030326462 ISBN 13 : 9783030326463

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Balas, Valentina E.|Kumar, Raghvendra|Srivastava, Rajshree

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030326462 ISBN 13 : 9783030326463

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides new directions of research in the fields of AI and IoTGathers recent research in emerging artificial intelligence methods and IoT methodsPresents recent research in artificial intelligence and Internet of Things. N� de r�f. du vendeur 448679086

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas

Edit� par Springer International Publishing Nov 2020, 2020

ISBN 10 : 3030326462 ISBN 13 : 9783030326463

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management. 644 pp. Englisch. N� de r�f. du vendeur 9783030326463

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Recent Trends and Advances in Artificial Intelligence and Internet of Things (Intelligent Systems Reference Library, 172)

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas (u. a.)

Edit� par Springer, 2020

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas

Edit� par Springer, Springer Nov 2020, 2020

ISBN 10 : 3030326462 ISBN 13 : 9783030326463

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 644 pp. Englisch. N� de r�f. du vendeur 9783030326463

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