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Title
Data engineering and intelligent computing : proceedings of 5th ICICC 2021 / Vikrant Bhateja, Lai Khin Wee, Jerry Chun-Wei Lin, Suresh Chandra Satapathy, T.M. Rajesh, editors.
ISBN
9811915598 (v.1, electronic bk.)
9789811915598 (electronic bk.)
9789811915581
981191558X
Published
Singapore : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (volumes : illustrations (chiefly color)).
Item Number
10.1007/978-981-19-1559-8 doi
Call Number
Q334 .I58 5th 2021eb
Dewey Decimal Classification
006.3
Summary
This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 2627 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
Note
International conference proceedings.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 13, 2022).
Series
Lecture notes in networks and systems ; v. 446.
Available in Other Form
Print version: 9789811915581
Enhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm
Derivation of DUS-Dened Physiological and Color Features of Okra Fruit Using Machine Vision Technology
Application-Oriented Content Quality Analysis of Data Using Python
An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems
Detection and Classication of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network
Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations.
