Artificial intelligence for place-time convolved wireless communication networks / (Record no. 5323)

MARC details
000 -LEADER
fixed length control field 02309naa a22003018i 4500
001 - CONTROL NUMBER
control field 00005323
003 - CONTROL NUMBER IDENTIFIER
control field FR-PaOEC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211006062617.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190601s2018 ||| o i|0| 0 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number (FR-PaOEC)
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaOEC
Transcribing agency ES-MaONT
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kumar, Ambuj
9 (RLIN) 3356
245 10 - TITLE STATEMENT
Title Artificial intelligence for place-time convolved wireless communication networks /
Statement of responsibility, etc. Ambuj Kumar
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Geneva :
Name of publisher, distributor, etc. International Telecommunication Union,
Date of publication, distribution, etc. 2018.
300 ## - PHYSICAL DESCRIPTION
Extent 9 p.
336 ## - CONTENT TYPE
Content type term texto (visual)
Source isbdcontent
337 ## - MEDIA TYPE
Media type term electrónico
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Source rdacarrier
520 3# - SUMMARY, ETC.
Summary, etc. Previous work have brought to light the dynamic and variable motions of potential network users, and other environmental factors, are the perennial and perpetual challenge to present and future wireless communications. The phenomena coined as place time capacity (PTC), and place time coverage (PTCo), with both collectively known as place time coverage and capacity (PTC.2), are derived as the outcomes of dynamics that can be expressed as the functions of place and time. These phenomena degrade the efficiency of any wireless communication network (WCN) to that lowest point, from where, a network service provider (NSP) may not have any choice but to revamp the network. Artificial intelligence (AI), on the other hand, has been striding profoundly for the past several decades, fanning out its influence in various sectors of scientific and technological developments. However, AI is almost absent in the area of WCN dimensioning and optimization, especially for place-time events. This paper revisits the two place-time functions as WCN phenomena and, with the backdrop of these aspects, shall investigate the inevitable need for AI in WCNs, as well as demonstrating how AI can be part of present and future wireless communications.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tecnologías habilitadoras digitales
9 (RLIN) 18
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Science and Technology
773 0# - HOST ITEM ENTRY
Host Biblionumber 4843
Title ITU Journal: ICT Discoveries
Related parts Vol. 2018, no. 1, p. 85-93
Enumeration and first page 2018:1<85
International Standard Serial Number 2616-8375
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name itu-ilibrary.org
Uniform Resource Identifier https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2018-10-PDF-E.pdf
Link text Acceso al documento
Nonpublic note Abierto
Electronic format type pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Artículos
Source of classification or shelving scheme Universal Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Koha itemnumber Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
      Acceso libre online Colección digital 6273 CDO CDO   12/09/2019   1000020175572 12/09/2019 12/09/2019 Artículos pdf
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