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Evolving Technologies for Computing, Communication and Smart World : Proceedings of ETCCS 2020 / edited by Pradeep Kumar Singh, Arti Noor, Maheshkumar H. Kolekar, Sudeep Tanwar, Raj K. Bhatnagar, Shaweta Khanna.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in electrical engineering 1876-1119 ; 694
- Lecture Notes in Electrical Engineering, 1876-1119 ; 694
- Language:
- English
- Subjects (All):
- Telecommunication.
- Wireless communication systems.
- Mobile communication systems.
- Computer networks.
- Data protection.
- Communications Engineering, Networks.
- Wireless and Mobile Communication.
- Computer Communication Networks.
- Data and Information Security.
- Local Subjects:
- Communications Engineering, Networks.
- Wireless and Mobile Communication.
- Computer Communication Networks.
- Data and Information Security.
- Physical Description:
- 1 online resource (XII, 538 pages) : 264 illustrations, 173 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-15-7804-5
- 9789811578045
- Access Restriction:
- Restricted for use by site license.
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