01523nam 2200481 450 991081469100332120200520144314.01-394-26110-11-4051-6701-71-118-60833-X(CKB)24989745100041(Au-PeEL)EBL4036751(CaPaEBR)ebr11111251(OCoLC)904194715(MiAaPQ)EBC4036751(EXLCZ)992498974510004120160405h20152015 uy 0engur|||||||||||rdacontentrdamediardacarrierA cultural history of Japanese Buddhism /William E. Deal and Brian RuppertChichester, England :Wiley Blackwell,2015.20151 online resource (345 pages) illustrations, mapsWiley Blackwell Guides to Buddhism ;1Includes bibliographical references at the end of each chapters and index.Wiley Blackwell guides to Buddhism ;1.Buddhism and cultureJapanHistoryBuddhismJapanHistoryBuddhism and cultureHistory.BuddhismHistory.294.30952Deal William E.1143316Ruppert Brian Douglas1962-MiAaPQMiAaPQMiAaPQBOOK9910814691003321A cultural history of Japanese Buddhism3913641UNINA01090nam2 22002651i 450 UON0040651320231205104721.3820120308d1955 |0itac50 barusSU|||| 1||||Poemy 1835-1841M. Ju. LermontovMoskvaLeningradAkademija Nauk SSSR1955425 p.tav.22 cm.001UON004065022001 SočinenijaM. Ju. Lermontov210 MoskvaLeningradAkademija Nauk SSSR1954-1957215 6 v.tav.22 cm.Tom 4RUMoskvaUONL003152891.703Letteratura russa. 1800-191721LERMONTOVMichail JurevičUONV109317634822Akademija Nauk SSSRUONV247334650ITSOL20241213RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00406513SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI RUSSO A 1215 SI MR 50774 5 1215 Poemy 1835-18411183777UNIOR03012oam 2200577I 450 991097162490332120251117110939.01-4987-6019-80-429-10232-11-4665-8406-810.1201/b18384 (CKB)2670000000560202(EBL)1707786(SSID)ssj0001535645(PQKBManifestationID)11841000(PQKBTitleCode)TC0001535645(PQKBWorkID)11499746(PQKB)11057517(MiAaPQ)EBC1707786(OCoLC)907924065(EXLCZ)99267000000056020220180331h20152015 uy 0engur|n|---|||||txtccrArtificial intelligence tools decision support systems in condition monitoring and diagnosis /Diego Galar Pascual1st ed.Boca Raton, Florida :CRC Press,[2015]©20151 online resource (528 p.)Description based upon print version of record.1-4665-8405-X Includes bibliographical references at the end of each chapters.Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Massive Field Data Collection: Issues and Challenges; Chapter 2: Condition Monitoring: Available Techniques; Chapter 3: Challenges of Condition Monitoring Using AI Techniques; Chapter 4: Input and Output Data; Chapter 5: Two-Stage Response Surface Approaches to Modeling Drug Interaction; Chapter 6: Nearest Neighbor-Based Techniques; Chapter 7: Cluster-Based Techniques; Chapter 8: Statistical Techniques; Chapter 9: Information Theory-Based Techniques; Chapter 10: Uncertainty Management; Back CoverArtificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders the merits of each technique as well as the issues associated with real-life applicationCovers classification methods, from neural networks to Bayesian and support vector machinesProposes fuzzy logic to explain the uncertainties associated with diagnostic processesIndustrial equipmentMaintenance and repairData processingMachineryMonitoringArtificial intelligenceIndustrial applicationsIndustrial equipmentMaintenance and repairData processing.MachineryMonitoring.Artificial intelligenceIndustrial applications.658.2020285Pascual Diego Galar1874905FlBoTFGFlBoTFGBOOK9910971624903321Artificial intelligence tools4485731UNINA