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LDR
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000005137746
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20240723171845
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240705s2021 maua b 001c0 eng d
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▼a 1630818119
▼q hardcover -
020
▼a 9781630818111
▼q (hardcover) -
040
▼a 211070
▼c 211070
▼d 211070 -
050
▼a UG479
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090
▼a UG479
▼b H149 -
245
▼a Cognitive electronic warfare :
▼b an artificial intelligence approach /
▼d Karen Zita Haigh,
▼e Julia Andrusenko -
260
▼a Boston :
▼b Artech House,
▼c 2021 -
300
▼a xiv, 246 pages :
▼b illustrations ;
▼c 24 cm -
490
▼a Artech House electronic warfare library
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504
▼a Includes bibliographical references and index.
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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.
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650
▼a Artificial intelligence
▼x Military applications. -
650
▼a Electronics in military engineering.
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650
▼a Intelligence artificielle
▼x Applications militaires. -
650
▼a Artificial intelligence
▼x Military applications.
▼2 fast
▼0 (OCoLC)fst00817271 -
650
▼a Electronics in military engineering.
▼2 fast
▼0 (OCoLC)fst00907609 -
700
▼a Andrusenko, Julia,
▼e author. -
830
▼a Artech House electronic warfare library
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950
▼b ￡129
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991
▼a 단행본
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상세정보
Cognitive electronic warfare : an artificial intelligence approach
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 1630818119 |
| ISBN : | 9781630818111 |
| 분류기호 : | UG479 |
| 서명/저자사항 : | Cognitive electronic warfare : an artificial intelligence approach / Karen Zita Haigh, Julia Andrusenko |
| 발행사항 : | Boston : Artech House, 2021 |
| 형태사항 : | xiv, 246 pages : illustrations ; 24 cm |
| 총서사항 : | Artech House electronic warfare library |
| 서지주기 : | Includes bibliographical references and index. |
| 요약 : | 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. |
| 일반주제명 : | Artificial intelligence -- Military applications. -- |
| 일반주제명 : | Electronics in military engineering. -- |
| 일반주제명 : | Intelligence artificielle -- Applications militaires. -- |
| 일반주제명 : | Artificial intelligence -- Military applications. -- |
| 일반주제명 : | Electronics in military engineering. -- |
| 개인저자 : | Andrusenko, Julia, author. |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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