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Innovations in computational intelligence and computer vision : proceedings of ICICV 2020 / Manoj Kumar Sharma [and four others] editors.
Format
Book
Language
English
Εdition
1st ed. 2021.
Published/Created
Springer Singapore 2021
Gateway East, Singapore : Springer, [2021]
©2021
Description
1 online resource (XVII, 612 p. 354 illus., 255 illus. in color.)
Availability
Available Online
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2021 English International
Details
Subject(s)
Computational intelligence
—
Congresses
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Editor
Sharma, Manoj Kumar
[Browse]
Series
Advances in Intelligent Systems and Computing, 1189
[More in this series]
Advances in Intelligent Systems and Computing, 2194-5357 ; 1189
[More in this series]
Summary note
This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2020),” hosted by Manipal University Jaipur, Rajasthan, India, on January 17–19, 2020. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals and students, the book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.
Source of description
Description based on print version record.
Contents
Stochastic Investigation of Two-unit Redundant System with Provision of Different Repair Schemes
A Workflow Allocation Strategy under Precedence Constraints for IaaS Cloud Environment
Artificial Neural Network Analysis for Predicting Spatial Patterns of Urbanization in India
Satellite Radar Interferometry for DEM Generation using Sentinel-1A Imagery.
Show 1 more Contents items
ISBN
981-15-6067-6
Doi
10.1007/978-981-15-6067-5
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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