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[null,"1.","Record Nr.",null,"UNINA9910704189103321"]
[null,null,"Autore",null,"Atwater Brian F."]
[null,null,"Titolo",null,"Pleistocene glacial-lake deposits of the Sanpoil River valley, northeastern Washington / / by Brian F. Atwater ; prepared in cooperation with the Colville Confederated Tribes, the U.S. Bureau of Reclamation, and the Bureau of Indian Affairs"]
[null,null,"Pubbl/distr/stampa",null,"[Reston, Va.] : , : Department of the Interior, U.S. Geological Survey, , 1986"]
[{"$nulls":4},"Washington : , : United States Government Printing Office"]
[null,null,"Descrizione fisica",null,"1 online resource (vi, 21 pages) : maps (some color)"]
[null,null,"Collana",null,"U.S. Geological Survey bulletin ; ; 1661"]
[null,null,"Soggetti",null,"Geology, Stratigraphic - Pleistocene"]
[{"$nulls":4},"Lake sediments - Washington (State) - Sanpoil River Valley"]
[{"$nulls":4},"Glacial epoch - Washington (State) - Sanpoil River Valley"]
[{"$nulls":4},"Geology, Stratigraphic"]
[{"$nulls":4},"Glacial epoch"]
[{"$nulls":4},"Lake sediments"]
[{"$nulls":4},"Pleistocene Geologic Epoch"]
[{"$nulls":4},"Missoula, Lake"]
[{"$nulls":4},"United States Lake Missoula"]
[{"$nulls":4},"Washington (State) Grand Coulee Region"]
[{"$nulls":4},"Washington (State) Sanpoil River Valley"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from title screen (viewed Aug. 11, 2014)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,"2.","Record Nr.",null,"UNINA9910619469103321"]
[null,null,"Autore",null,"Chen Hongtian"]
[null,null,"Titolo",null,"Deep Learning-Based Machinery Fault Diagnostics"]
[null,null,"Pubbl/distr/stampa",null,"MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"ISBN",null,"3-0365-5174-3"]
[null,null,"Descrizione fisica",null,"1 online resource (290 p.)"]
[null,null,"Soggetti",null,"History of engineering & technology"]
[{"$nulls":4},"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis."]