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Recent trends and advances in artifi...

Balas, Valentina E.

Recent trends and advances in artificial intelligence and internet of things

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent trends and advances in artificial intelligence and internet of thingsedited by Valentina E. Balas, Raghvendra Kumar, Rajshree Srivastava.
other author:	Balas, Valentina E.
Published:	Cham :Springer International Publishing :2020.
Description:	xxxiv, 607 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-3-030-32644-9
ISBN:	9783030326449$q(electronic bk.)

Recent trends and advances in artificial intelligence and internet of things
Recent trends and advances in artificial intelligence and internet of things[electronic resource] /edited by Valentina E. Balas, Raghvendra Kumar, Rajshree Srivastava. - Cham :Springer International Publishing :2020. - xxxiv, 607 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1721868-4394 ;. - Intelligent systems reference library ;v.24..

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.

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.

ISBN: 9783030326449$q(electronic bk.)

Standard No.: 10.1007/978-3-030-32644-9doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335 / .R434 2020

Dewey Class. No.: 006.3

Recent trends and advances in artificial intelligence and internet of things
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245 0 0 $a Recent trends and advances in artificial intelligence and internet of things $h [electronic resource] / $c edited by Valentina E. Balas, Raghvendra Kumar, Rajshree Srivastava.
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505 0 $a 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.
520 $a 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.
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