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Publications by M Sättele

Bayesian Networks to Quantify the Reliability of a Debris Flow Alarm System

English

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Dynamic Bayesian Networks in System Reliability Analysis

IFAC Proceedings Volumes

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Application of Bayesian Networks in Reliability Evaluation

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Prediction of Amount of Debris Flow by Using the Neural Networks

PROCEEDINGS OF HYDRAULIC ENGINEERING

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Bayesian Framework to Quantify Uncertainties in Piezoelectric Energy Harvesters

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A Study on the Change of Destruction From and Scale to Debris-Flow and Collapse of Debris-Flow in Hazardous Torrent.

Doboku Gakkai Ronbunshu

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Examining the Causes of a Devastating Debris Flow

Planetary Sciences

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Analysis of Reliability of Sending Information on the Alarm State of Focused and Distributed Fire Alarm Systems

AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe

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Research on the Debris Flow Monitoring System Based on Infrasonic Wave

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Persistent Homology to Quantify the Quality of Surface‐supported Covalent Networks

Theoretical Chemistry

Molecular Physics,

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