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Evolving Technologies for Computing, Communication and Smart World [electronic resource] : Proceedings of ETCCS 2020 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Electrical Engineering ; 694Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XII, 538 p. 264 illus., 173 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811578045
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK5101-5105.9
Online resources:
Contents:
Towards Response Type Identification for the real-time -- Automatic Leaf Species Recognition using Deep Neural Network -- Injecting power attacks with voltage glitching and generation of clock attacks for testing fault injection attacks -- Traffic Jam Minimization and Accident Avoidance System Using IoT -- Software Reusability Estimation using Machine Learning Techniques- A Systematic Literature Review -- Unsupervised sentiment analysis with impact of reviewer's emotion -- Sentiment triggered share price prediction.
In: Springer Nature eBookSummary: This book presents best selected papers presented at the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS 2020) held on 31 January–1 February 2020 at C-DAC, Noida, India. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland; and CSI, India. C-DAC, Noida received funding from MietY during the event. The technical services are supported through EasyChair, Turnitin, MailChimp and IAC Education. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.
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Towards Response Type Identification for the real-time -- Automatic Leaf Species Recognition using Deep Neural Network -- Injecting power attacks with voltage glitching and generation of clock attacks for testing fault injection attacks -- Traffic Jam Minimization and Accident Avoidance System Using IoT -- Software Reusability Estimation using Machine Learning Techniques- A Systematic Literature Review -- Unsupervised sentiment analysis with impact of reviewer's emotion -- Sentiment triggered share price prediction.

This book presents best selected papers presented at the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS 2020) held on 31 January–1 February 2020 at C-DAC, Noida, India. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland; and CSI, India. C-DAC, Noida received funding from MietY during the event. The technical services are supported through EasyChair, Turnitin, MailChimp and IAC Education. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.

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