Smart cities : (Record no. 35191)

MARC details
000 -LEADER
fixed length control field 03775nam a2200493 i 4500
001 - CONTROL NUMBER
control field EBC6145527
003 - CONTROL NUMBER IDENTIFIER
control field MiAaPQ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210825161938.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200709s2020 si ob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9789811528361
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811528378 (e-book)
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC6145527
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL6145527
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1150194958
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TD159.4
Item number .L58 2020
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 307.760285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liu, Hui,
Relator term author.
245 10 - TITLE STATEMENT
Title Smart cities :
Remainder of title big data prediction methods and applications /
Statement of responsibility, etc. Hui Liu.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer ;
Place of production, publication, distribution, manufacture Science Press :
Name of producer, publisher, distributor, manufacturer Beijing, China,
Date of production, publication, distribution, manufacture, or copyright notice [2020]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice �2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (338 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part 1 Exordium -- 1. Key Issues of Smart Cities -- Part 2 Smart Grid and Buildings -- 2. Electrical Characteristics and Correlation Analysis in Smart Grid -- 3. Prediction Model of City Electricity Consumption -- 4. Prediction Models of Energy Consumption in Smart Urban Buildings -- Part 3 Smart Traffic Systems -- 5. Characteristics and Analysis of Urban Traffic Flow in Smart Traffic Systems -- 6. Prediction Model of Traffic Flow Driven Based on Single Data in Smart Traffic Systems -- 7. Prediction Models of Traffic Flow Driven Based on Multi-dimensional Data in Smart Traffic Systems -- Part 4 Smart Environment 8 Prediction Models of Urban Air Quality in Smart Environment -- 9. Prediction Models of Urban Hydrological Status in Smart Environment -- 10. Prediction Model of Urban Environmental Noise in Smart Environment.
520 ## - SUMMARY, ETC.
Summary, etc. Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Smart cities
General subdivision Forecasting.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical Models of Cognitive Processes and Neural Networks.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Liu, Hui.
Title Smart cities : big data prediction methods and applications.
Place, publisher, and date of publication Singapore : Springer ; Science Press : Beijing, China, c2020
Physical description 338 pages
International Standard Book Number 9789811528361
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/vajira-ebooks/detail.action?docID=6145527">https://ebookcentral.proquest.com/lib/vajira-ebooks/detail.action?docID=6145527</a>
Public note Click to View
850 ## - HOLDING INSTITUTION
Holding institution Kuakarun Nursing Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    National Library of Medicine Classification   Online Access Kuakarun Nursing Library Kuakarun Nursing Library Processing unit 25/08/2021   Eb35191 25/08/2021 25/08/2021 Electronic books