Cognitive Electronic Warfare : An Artificial Intelligence Approach.

This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high p...

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Bibliographic Details
Main Author: Haigh, Karen.
Other Authors: Andrusenko, Julia.
Format: eBook
Language: English
Published: BOSTON : ARTECH HOUSE, 2021.
Subjects:
ISBN: 9781630818128
1630818127
1630818119
9781630818111
Physical Description: 1 online resource

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Table of contents

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001 kn-on1262190579
003 OCoLC
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006 m o d
007 cr cn|||||||||
008 210730s2021 mau o 0|| 0 eng d
040 |a YDX  |b eng  |c YDX  |d N$T  |d OCLCO  |d OCLCF  |d IEEEE  |d UKAHL  |d P4A  |d OCLCQ  |d OCLCO  |d OCLCL  |d OCLCQ 
020 |a 9781630818128  |q (electronic bk.) 
020 |a 1630818127  |q (electronic bk.) 
020 |z 1630818119 
020 |z 9781630818111 
035 |a (OCoLC)1262190579 
100 1 |a Haigh, Karen. 
245 1 0 |a Cognitive Electronic Warfare :  |b An Artificial Intelligence Approach. 
260 |a BOSTON :  |b ARTECH HOUSE,  |c 2021. 
300 |a 1 online resource 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time.   The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Electronics in military engineering. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Andrusenko, Julia. 
776 0 8 |i Print version:  |z 1630818119  |z 9781630818111  |w (OCoLC)1249015439 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpCEWAAIA4/cognitive-electronic-warfare?kpromoter=marc  |y Full text