Bridge Damage Detection with Support Vector Machine in Accelerometer-Based Wireless Sensor Network

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Bridge Damage Detection with Support Vector Machine in Accelerometer-Based Wireless Sensor Network ; day:18 ; month:5 ; year:2024 ; pages:1-20
Journal of vibration engineering & technologies ; (18.5.2024), 1-20

Creator: Kustiana, Willy Aulia Akbar
Trilaksono, Bambang Riyanto
Riyansyah, Muhammad
Putra, Seno Adi
Caesarendra, Wahyu
Królczyk, Grzegorz
Sulowicz, Maciej

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42417-024-01400-5

URN: urn:nbn:de:101:1-2407291148411.368750469951

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:59 AM CEST

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Associated

Kustiana, Willy Aulia Akbar
Trilaksono, Bambang Riyanto
Riyansyah, Muhammad
Putra, Seno Adi
Caesarendra, Wahyu
Królczyk, Grzegorz
Sulowicz, Maciej
SpringerLink (Online service)

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Bridge Damage Detection with Support Vector Machine in Accelerometer-Based Wireless Sensor Network

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Other Objects (12)

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Drive-by bridge damage detection by vehicle-bridge interaction neural operator

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

A Novel Method for Tracking Neck Motions Using a Skin-Conformable Wireless Accelerometer: A Pilot Study

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Analysis of bridge vibration response for identification of bridge damage using BP neural network

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Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes

Accelerometer-based wireless body area network to estimate intensity of therapy in post-acute rehabilitation

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Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

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Accelerometer-based wireless body area network to estimate intensity of therapy in post-acute rehabilitation

Drive-by bridge damage detection by vehicle-bridge interaction neural operator

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

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Analysis of bridge vibration response for identification of bridge damage using BP neural network

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Modeling Damage Information for the Operation Phase of Bridges

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