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Publications by D Straub
Bayesian Networks to Quantify the Reliability of a Debris Flow Alarm System
Framework for a Bayesian Network Version of IDHEAS
Probabilistic Model of Bone Structure Based on CT Scan Data and Validation of Simulation Results Using the Finite Cell Method
Related publications
Dynamic Bayesian Networks in System Reliability Analysis
IFAC Proceedings Volumes
Application of Bayesian Networks in Reliability Evaluation
Prediction of Amount of Debris Flow by Using the Neural Networks
PROCEEDINGS OF HYDRAULIC ENGINEERING
Bayesian Framework to Quantify Uncertainties in Piezoelectric Energy Harvesters
A Study on the Change of Destruction From and Scale to Debris-Flow and Collapse of Debris-Flow in Hazardous Torrent.
Doboku Gakkai Ronbunshu
Examining the Causes of a Devastating Debris Flow
Eos
Earth
Planetary Sciences
Analysis of Reliability of Sending Information on the Alarm State of Focused and Distributed Fire Alarm Systems
AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe
Research on the Debris Flow Monitoring System Based on Infrasonic Wave
Persistent Homology to Quantify the Quality of Surface‐supported Covalent Networks
ChemPhysChem
Theoretical Chemistry
Physical
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Atomic
Molecular Physics,
