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Disaster Analytics for Critical Infrastructures : Methods and Algorithms for Modeling Disasters and Proactive Recovery Preparedness
Disaster Analytics for Critical Infrastructures : Methods and Algorithms for Modeling Disasters and Proactive Recovery Preparedness
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210093245
- ISBN
- 9798535543574
- DDC
- 658
- 서명/저자
- Disaster Analytics for Critical Infrastructures : Methods and Algorithms for Modeling Disasters and Proactive Recovery Preparedness
- 발행사항
- [Sl] : Arizona State University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 126 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Pedrielli, Giulia.
- 학위논문주기
- Thesis (Ph.D.)--Arizona State University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Operations research
- 일반주제명
- Industrial engineering
- 일반주제명
- Urban planning
- 일반주제명
- Dynamic programming
- 일반주제명
- Failure analysis
- 일반주제명
- Electricity distribution
- 일반주제명
- Experiments
- 일반주제명
- Disasters
- 일반주제명
- Algorithms
- 일반주제명
- Confidence intervals
- 일반주제명
- Parameter estimation
- 일반주제명
- Annealing
- 기타저자
- Arizona State University Industrial Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210093245
■020 ▼a9798535543574
■035 ▼a(MiAaPQ)AAI28543196
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a658
■1001 ▼aInanlouganji, Alireza.
■24510▼aDisaster Analytics for Critical Infrastructures : Methods and Algorithms for Modeling Disasters and Proactive Recovery Preparedness
■260 ▼a[Sl]▼bArizona State University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a126 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Pedrielli, Giulia.
■5021 ▼aThesis (Ph.D.)--Arizona State University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0010.
■650 4▼aOperations research
■650 4▼aIndustrial engineering
■650 4▼aUrban planning
■650 4▼aDynamic programming
■650 4▼aFailure analysis
■650 4▼aElectricity distribution
■650 4▼aExperiments
■650 4▼aDisasters
■650 4▼aAlgorithms
■650 4▼aConfidence intervals
■650 4▼aParameter estimation
■650 4▼aAnnealing
■653 ▼aDisaster Response
■653 ▼aPower Restoration
■653 ▼aReal-time Decision-making
■653 ▼aReinforcement Learning
■690 ▼a0796
■690 ▼a0546
■690 ▼a0999
■71020▼aArizona State University▼bIndustrial Engineering.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0010
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052438▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
