MARC details
000 -LEADER |
fixed length control field |
03103nam a22005415i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
TR-AnTOB |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231114115314.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
220329s2022 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030950415 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-030-95041-5 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
TR-AnTOB |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
TR-AnTOB |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
İngilizce |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q335 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TJKW |
Source |
bicssc |
|
Subject category code |
TEC061000 |
Source |
bisacsh |
|
Subject category code |
TJKW |
Source |
thema |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
Q335EBK |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Kim, Haesik. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Artificial Intelligence for 6G |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
by Haesik Kim. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2022. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cham : |
Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource |
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 |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Part I: Artificial Intelligence Techniques -- Chapter 1. Historical Sketch of Artificial Intelligence -- Chapter 2. Unsupervised Learning -- Chapter 3. Supervised Learning -- Chapter 4. Gradient Descent -- Chapter 5. Reinforcement Learning -- Chapter 6. Deep Learning -- Part II: Artificial Intelligence Enabled Techniques for 6G -- Chapter 7. Artificial Intelligence and 6G -- Chapter 8. AI for Big Data -- Chapter 9. AI Enabled Wireless Communications -- Chapter 10. AI Enabled Networks -- Chapter 11. AI Empowered Mobile Applications. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI. Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as: unsupervised learning; supervised learning; reinforcement learning; and deep learning. It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks. This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. . |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Wireless communication systems. |
|
Topical term or geographic name entry element |
Mobile communication systems. |
|
Topical term or geographic name entry element |
Artificial intelligence. |
|
Topical term or geographic name entry element |
Cooperating objects (Computer systems). |
|
Topical term or geographic name entry element |
Mathematical optimization. |
|
Topical term or geographic name entry element |
Wireless and Mobile Communication. |
|
Topical term or geographic name entry element |
Artificial Intelligence. |
|
Topical term or geographic name entry element |
Cyber-Physical Systems. |
|
Topical term or geographic name entry element |
Optimization. |
653 #0 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Machine learning |
|
Uncontrolled term |
Wireless communication systems -- Data processing |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-030-95041-5">https://doi.org/10.1007/978-3-030-95041-5</a> |
Materials specified |
Springer eBooks |
Public note |
Online access link to the resource |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
E-Book |