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000 nam5i
001 2210080935862
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007 cr nn 008mamaa
008 250224s2025 si | s |||| 0|eng d
020 a97898196123529978-981-96-1235-2
024 a10.1007/978-981-96-1235-22doi
040 a221008
050 aHD61
072 aKJM2bicssc
072 aGPQD2bicssc
072 aBUS0270202bisacsh
072 aKJM2thema
072 aGPQD2thema
082 a658.155223
100 aCheng, Chi-Bin.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut
245 00 aFlight Safety Managementh[electronic resource] :bQuantitative and AI Approaches /cby Chi-Bin Cheng, Huan-Jyh Shyur.
250 a1st ed. 2025.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2025.
300 aXI, 258 p. 120 illus., 93 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aStudies in Systems, Decision and Control,x2198-4190 ;v228
505 aIntroduction to Flight Safety -- Proactive Flight Safety Programs -- Introduction to Artificial Intelligence -- Flight Safety Management with Machine Learning -- Flight Operations Risk Assessment System: System Structure and Methodology -- Flight Operations Risk Assessment System: System Design and Implementation -- En-Route Flight Risk Assessment -- Automatic Causal Analysis and Reporting of Hard Landing Events -- Aging Aircraft Management -- Business Intelligence and Flight Safety Performance Dashboard.
520 aThis book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines. Flight safety is commonly the core values of airlines. Serious flight disasters always bring tremendous impacts and losses to the industry and the society; thus, airlines and the authorities always treat the issues of flight safety management as the first priority. It presents the information systems that assist the safety staff and managers to adopt preventive operations or to analyze the critical factors or operations that cause a flight event. Such information systems were developed based on artificial intelligence and quantitative approaches, including fuzzy logic, expert systems, deep learning, decision-making methods, reliability theory, and data mining. After introducing the flight safety management practice and common programs, as well as basic artificial intelligence and quantitative approaches, the book describes in detail the information systems we have developed and provides instructions for flight safety practitioners to implement such information systems in their organizations. Case studies collected from the cooperated airline are also presented.
650 aFinancial risk management.
650 aMachine learning.
650 aTransportation engineering.
650 aTraffic engineering.
650 aArtificial intelligence.
650 aRisk Management.
650 aStatistical Learning.
650 aTransportation Technology and Traffic Engineering.
650 aArtificial Intelligence.
700 1 aShyur, Huan-Jyh.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819612345
776 iPrinted edition:z9789819612369
776 iPrinted edition:z9789819612376
830 aStudies in Systems, Decision and Control,x2198-4190 ;v228
856 uhttps://doi.org/10.1007/978-981-96-1235-2
912 aZDB-2-BUM
912 aZDB-2-SXBM
950 aBusiness and Management (SpringerNature-41169)
950 aBusiness and Management (R0) (SpringerNature-43719)
Flight Safety Management[electronic resource] :Quantitative and AI Approaches /by Chi-Bin Cheng, Huan-Jyh Shyur
종류
전자책
서명
Flight Safety Management[electronic resource] :Quantitative and AI Approaches /by Chi-Bin Cheng, Huan-Jyh Shyur
저자명
판 사항
1st ed. 2025.
형태사항
XI, 258 p 120 illus, 93 illus in color online resource.
주기사항
This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines. Flight safety is commonly the core values of airlines. Serious flight disasters always bring tremendous impacts and losses to the industry and the society; thus, airlines and the authorities always treat the issues of flight safety management as the first priority. It presents the information systems that assist the safety staff and managers to adopt preventive operations or to analyze the critical factors or operations that cause a flight event. Such information systems were developed based on artificial intelligence and quantitative approaches, including fuzzy logic, expert systems, deep learning, decision-making methods, reliability theory, and data mining. After introducing the flight safety management practice and common programs, as well as basic artificial intelligence and quantitative approaches, the book describes in detail the information systems we have developed and provides instructions for flight safety practitioners to implement such information systems in their organizations. Case studies collected from the cooperated airline are also presented.
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