Artificial intelligence and quantum computing for advanced wireless networks / (Record no. 200451980)

MARC details
000 -LEADER
fixed length control field 07548cam a2200529 i 4500
001 - CONTROL NUMBER
control field 200451980
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230915001309.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211025t20222022nju ob 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119790327
Qualifying information electronic book
International Standard Book Number 1119790328
Qualifying information electronic book
International Standard Book Number 111979031X
Qualifying information electronic publication
International Standard Book Number 9781119790280
Qualifying information adobe electronic book
International Standard Book Number 111979028X
Qualifying information adobe electronic book
International Standard Book Number 9781119790310
Qualifying information (electronic bk.)
Canceled/invalid ISBN 9781119790297
Qualifying information hardcover
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119790327
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1287752035
Canceled/invalid control number (OCoLC)1287085197
037 ## - SOURCE OF ACQUISITION
Stock number 9779336
Source of stock number/acquisition IEEE
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency OCLCF
-- OCLCO
-- DG1
-- OCLCO
-- YDX
-- N$T
-- IEEEE
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q335
Item number .G55 2022
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) Q335
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) .G55 2022EBK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Glisic, Savo G.
Authority record control number or standard number http://id.loc.gov/authorities/names/n95001423
Relator term author
9 (RLIN) 39461
245 10 - TITLE STATEMENT
Title Artificial intelligence and quantum computing for advanced wireless networks /
Statement of responsibility, etc. Savo G. Glisic, Beatriz Lorenzo
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, NJ :
Name of producer, publisher, distributor, manufacturer John Wiley & Sons,
Date of production, publication, distribution, manufacture, or copyright notice 2022
Date of production, publication, distribution, manufacture, or copyright notice ©2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xiii, 850 pages) :
Other physical details illustrations (some color)
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 and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface, xiii -- Part I Artificial Intelligence, 1 -- 1 Introduction, 3 -- 1.1 Motivation, 3 -- 1.2 Book Structure, 5 -- 2 Machine Learning Algorithms, 17 -- 2.1 Fundamentals, 17 -- 2.2 ML Algorithm Analysis, 37 -- 3 Artificial Neural Networks, 55 -- 3.1 Multi-layer Feedforward Neural Networks, 55 -- 3.2 FIR Architecture, 60 -- 3.3 Time Series Prediction, 68 -- 3.4 Recurrent Neural Networks, 69 -- 3.5 Cellular Neural Networks (CeNN), 81 -- 3.6 Convolutional Neural Network (CoNN), 84 -- 4 Explainable Neural Networks, 97 -- 4.1 Explainability Methods, 99 -- 4.2 Relevance Propagation in ANN, 103 -- 4.3 Rule Extraction from LSTM Networks, 110 -- 4.4 Accuracy and Interpretability, 112 -- 5 Graph Neural Networks, 135 -- 5.1 Concept of Graph Neural Network (GNN), 135 -- 5.2 Categorization and Modeling of GNN, 144 -- 5.3 Complexity of NN, 156 -- 6 Learning Equilibria and Games, 179 -- 6.1 Learning in Games, 179 -- 6.2 Online Learning of Nash Equilibria in Congestion Games, 196 -- 6.3 Minority Games, 202 -- 6.4 Nash Q-Learning, 204 -- 6.5 Routing Games, 211 -- 6.6 Routing with Edge Priorities, 220 -- 7 AI Algorithms in Networks, 227 -- 7.1 Review of AI-Based Algorithms in Networks, 227 -- 7.2 ML for Caching in Small Cell Networks, 237 -- 7.3 Q-Learning-Based Joint Channel and Power Level Selection in Heterogeneous Cellular Networks, 243 -- 7.4 ML for Self-Organizing Cellular Networks, 252 -- 7.5 RL-Based Caching, 267 -- 7.6 Big Data Analytics in Wireless Networks, 274 -- 7.7 Graph Neural Networks, 279 -- 7.8 DRL for Multioperator Network Slicing, 291 -- 7.9 Deep Q-Learning for Latency-Limited Network Virtualization, 302 -- 7.10 Multi-Armed Bandit Estimator (MBE), 317 -- 7.11 Network Representation Learning, 327 -- Part II Quantum Computing, 361 -- 8 Fundamentals of Quantum Communications, 363 -- 8.1 Introduction, 363 -- 8.2 Quantum Gates and Quantum Computing, 372 -- 8.3 Quantum Fourier Transform (QFT), 386 -- 9 Quantum Channel Information Theory, 397 -- 9.1 Communication Over a Channel, 398 -- 9.2 Quantum Information Theory, 401 -- 9.3 Channel Description, 407 -- 9.4 Channel Classical Capacities, 414 -- 9.5 Channel Quantum Capacity, 431 -- 9.6 Quantum Channel Examples, 437 -- 10 Quantum Error Correction, 451 -- 10.1 Stabilizer Codes, 458 -- 10.2 Surface Code, 465 -- 10.3 Fault-Tolerant Gates, 471 -- 10.4 Theoretical Framework, 474 -- 11 Quantum Search Algorithms, 499 -- 11.1 Quantum Search Algorithms, 499 -- 11.2 Physics of Quantum Algorithms, 510 -- 12 Quantum Machine Learning, 543 -- 12.1 QML Algorithms, 543 -- 12.2 QNN Preliminaries, 547 -- 12.3 Quantum Classifiers with ML: Near-Term Solutions, 550 -- 12.4 Gradients of Parameterized Quantum Gates, 560 -- 12.5 Classification with QNNs, 568 -- 12.6 Quantum Decision Tree Classifier, 575 -- 13 QC Optimization, 593 -- 13.1 Hybrid Quantum-Classical Optimization Algorithms, 593 -- 13.2 Convex Optimization in Quantum Information Theory, 601 -- 13.3 Quantum Algorithms for Combinatorial Optimization Problems, 609 -- 13.4 QC for Linear Systems of Equations, 614 -- 13.5 Quantum Circuit, 625 -- 13.6 Quantum Algorithm for Systems of Nonlinear Differential Equations, 628 -- 14 Quantum Decision Theory, 637 -- 14.1 Potential Enablers for Qc, 637 -- 14.2 Quantum Game Theory (QGT), 641 -- 14.3 Quantum Decision Theory (QDT), 665 -- 14.4 Predictions in QDT, 676 -- 15 Quantum Computing in Wireless Networks, 693 -- 15.1 Quantum Satellite Networks, 693 -- 15.2 QC Routing for Social Overlay Networks, 706 -- 15.3 QKD Networks, 713 -- 16 Quantum Network on Graph, 733 -- 16.1 Optimal Routing in Quantum Networks, 733 -- 16.2 Quantum Network on Symmetric Graph, 744 -- 16.3 QWs, 747 -- 16.4 Multidimensional QWs, 753 -- 17 Quantum Internet, 773 -- 17.1 System Model, 775 -- 17.2 Quantum Network Protocol Stack, 789 -- References, 814 -- Index, 821
520 ## - SUMMARY, ETC.
Summary, etc. "By increasing the density and number of different functionalities in wireless networks there is more and more need for the use of artificial intelligence for planning network deployment, running their optimization and dynamically controlling their operation. For example, machine learning algorithms are used for the prediction of traffic and network state in order to timely reserve resources for smooth communication with high reliability and low latency; Big data mining is used to predict customer behaviour and pre-distribute the information content across the network so that it can be efficiently delivered as soon as requested; Intelligent agents can search the internet on behalf of the customer in order to find the best options when it comes to buying any product online. This timely book presents a review of AI-based learning algorithms with a number of case studies supported by Python and R programs, providing a discussion of the learning algorithms used in decision making based on game theory and a number of specific applications in wireless networks, such as channel, network state and traffic prediction. It is expected that once quantum computing becomes a commercial reality, it will be used in wireless communications systems in order to speed up specific processes due to its inherent parallelization capabilities. This is a practical book packed with case studies and follows a basic through to advanced level path and is an ideal course accompaniment for graduate/masters students, and online professional study."--
Assigning source Provided by publisher
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh85008180
9 (RLIN) 1543
Topical term or geographic name entry element Quantum computing.
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh2014002839
Topical term or geographic name entry element Wireless communication systems
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh92006740
9 (RLIN) 692
Topical term or geographic name entry element Artificial intelligence
Authority record control number or standard number https://id.nlm.nih.gov/mesh/D001185
9 (RLIN) 1543
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
9 (RLIN) 2032
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lorenzo, Beatriz,
Authority record control number or standard number http://id.loc.gov/authorities/names/n2009003447
Relator term author
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Wiley Online Library
Public note Connect to resource
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119790327">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119790327</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Date shelved Koha item type Public note
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 27/12/2022 Satın Alma / Purchase 0.00 ELE/YAP   Q335 .G55 2022EBK EBK01370 27/12/2022 0.00 27/12/2022 E-Book
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