Machine learning approaches for urban computing / Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy, editors.
2021
TD159.4
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Details
Title
Machine learning approaches for urban computing / Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy, editors.
ISBN
9789811609350
9811609357
9811609349
9789811609343
9811609357
9811609349
9789811609343
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource (xi, 208 pages) : illustrations (some color)
Item Number
10.1007/978-981-16-0935-0 doi
Call Number
TD159.4
Dewey Decimal Classification
628.0285
Summary
This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 7, 2021).
Added Author
Bandyopadhyay, Mainak, 1989- editor.
Rout, Minakhi, editor.
Chandra Satapathy, Suresh., editor.
Rout, Minakhi, editor.
Chandra Satapathy, Suresh., editor.
Series
Studies in computational intelligence ; v. 968. 1860-949X
Available in Other Form
Machine Learning Approaches for Urban Computing.
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Table of Contents
Urbanization: Pattern, Effects and Modelling
Extraction of Information from Hyperspectral Imaging using Deep Learning
Vehicle Detection and count in the captured Stream Video using Machine Learning
Dimensionality Reduction and Classification in Hyperspectral Images using Deep Learning
Machine learning and deep learning algorithms in the diagnosis of chronic diseases
Security Enhancement of Contact less Tachometer Based Cyber Physical System
Optimization of Loss Function on Human Faces Using Generative Adversarial Networks.
Extraction of Information from Hyperspectral Imaging using Deep Learning
Vehicle Detection and count in the captured Stream Video using Machine Learning
Dimensionality Reduction and Classification in Hyperspectral Images using Deep Learning
Machine learning and deep learning algorithms in the diagnosis of chronic diseases
Security Enhancement of Contact less Tachometer Based Cyber Physical System
Optimization of Loss Function on Human Faces Using Generative Adversarial Networks.