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Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 

Ergebnis der Suche nach: "Machine Learning"



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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1387895648
Titel Spatio-Temporal Abnormality Diagnosis for Industrial Distributed Parameter Systems : Model-Based and Data-Driven Perspectives / by Yun Feng, Han-Xiong Li, Yaonan Wang
Person(en) Feng, Yun (Verfasser)
Li, Han-Xiong (Verfasser)
Wang, Yaonan (Verfasser)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Singapore : Springer Nature Singapore, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XVIII, 256 p. 94 illus., 88 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-981-95-3749-5
Printed edition:: ISBN: 978-981-95-3751-8
Printed edition:: ISBN: 978-981-95-3752-5
Inhalt Introduction -- Spatial Basis Functions based Fault Localization for Linear Parabolic DPSs -- Spectral Approximation based Fault Localization for Nonlinear DPSs A Spatial Mapping Filter based Framework -- PDE Backstepping based Abnormality Detection and Localization for Linear Parabolic DPSs -- Spatial Decomposition based Fault Detection Framework for Parabolic-Distributed Parameter Processes -- Inverse ST Model based Abnormal Source Identification for Parabolic DPSs -- Adaptive PDE Observer based Abnormal Source Estimation for A Linear Unstable Parabolic DPS -- Computation efficient Fault Detection Framework for Partially known Nonlinear DPSs -- PDE Model-based On line Cell level Thermal Fault Localization Framework for Batteries -- Independent Component Analysis based Fault Detection and Localization for Partially Known DPSs -- From On line Systems Modeling to Fault Detection for A Class of Unknown High dimensional DPSs -- Dynamic Spatial independent-component analysis based Abnormality Localization for DPSs
Persistent Identifier URN: urn:nbn:de:101:1-2601250306535.572644393680
DOI: 10.1007/978-981-95-3750-1
URL https://doi.org/10.1007/978-981-95-3750-1
ISBN/Einband/Preis 978-981-95-3750-1
Sprache(n) Englisch (eng)
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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