Probabilistic Framework to Detect and to Identify Anomalies in Structures: Fid-Bau Portal

Fachinformationsdienst BAUdigital

Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik

Probabilistic Framework to Detect and to Identify Anomalies in Structures

Fares, N. / Maloof, R. / American Society of Civil Engineers; Engineering Mechanics Division / American Society of Civil Engineers; Structural Division

Zugriff

Zugriff über TIB

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Probabilistic Framework to Detect and to Identify Anomalies in Structures

Fares, N. / Maloof, R. / American Society of Civil Engineers; Engineering Mechanics Division / American Society of Civil Engineers; Structural Division

Probabilistic Framework to Detect and to Identify Anomalies in Structures

Fares, N. / Maloof, R. / American Society of Civil Engineers; Engineering Mechanics Division / American Society of Civil Engineers; Structural Division

Zugriff

Zugriff über TIB

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Probabilistic Framework to Detect and to Identify Anomalies in Structures

Beteiligte:

Fares, N. (Autor:in) / Maloof, R. (Autor:in) / Frangopol, D. M. / Grigoriu, M. / American Society of Civil Engineers; Engineering Mechanics Division / American Society of Civil Engineers; Structural Division

Kongress:

Specialty conference; 7th, Probabilistic mechanics and structural reliability ; 1996 ; Worcester; MA

Erschienen in:

Probabilistic mechanics and structural reliability ; 910-914

PROBABILISTIC MECHANICS AND STRUCTURAL RELIABILITY -SPECIALITY CONFERENCE-

Erscheinungsdatum:

01.01.1996

Format / Umfang:

5 pages

ISBN:

Medientyp:

Aufsatz (Konferenz)

Format:

Print

Sprache:

Englisch

Schlagwörter:

probabilistic mechanics , structural reliability , ASCE , engineering mechanics , civil engineers

© Metadata Copyright the British Library Board and other contributors. All rights reserved.

Ähnliche Titel

Using Hierarchical Temporal Memory to Detect City Infrastructure Anomalies

Liu, Eric / Liu, Jianfeng / Zhang, Yiming | Springer Verlag | 2019

Statistics to detect low-intensity anomalies in PV systems

Vergura, Silvano / Carpentieri, Mario | BASE | 2018

Freier Zugriff

Using Hierarchical Temporal Memory to Detect City Infrastructure Anomalies

Liu, Eric / Liu, Jianfeng / Zhang, Yiming | TIBKAT | 2020

Image Processing and Analysis A Probabilistic Framework to Detect Buildings in Aerial and Satellite Images

Sirmaçek, B | Online Contents | 2011

Use of Field Photometry to Detect Geochemical Anomalies from Vegetation Stress

Surin, V.G. | Online Contents | 1998