Western Norway University of Applied Sciences

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311 to 320 of 458 Results

References.txt Nov 29, 2022 - Replication Data for: Peer Workers in Co-production and Co-creation in Mental Health and Substance Use Services: A Scoping Review Plain Text - 450.4 KB - MD5: fd42f87b43e72967e0977f040a1b5326 Tabular separated text file
CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles May 3, 2024 Balakin, Boris; Saparbayeva, Nazerke, 2024, "CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles", https://doi.org/10.18710/ARTNTB, DataverseNO, V1 This dataset contains model data for the CFD-DEM simulation of plugging in multiphase flows with cohesive particles. The main results available from the simulations are presented in the dataset together with the overall description of the model. The second model is the random forest-based machine learning (ML) routine trained using experiments and...
00_ReadMe.txt May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Plain Text - 6.1 KB - MD5: f1066bdfdae24f6982cebaaa4d2c4d96
_gamma=0.78.txt May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Plain Text - 12.3 KB - MD5: ead52a45acbf9bb8abe7478d25a5d6fe
_gamma=0.88.txt May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Plain Text - 3.0 KB - MD5: 76e543f103d1cf63a9406fb4bd6b0cb0
_gamma=0.8.txt May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Plain Text - 7.0 KB - MD5: b18054ea5821358f6a284b71aca9e56f
MLcode.py May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Python Source Code - 18.9 KB - MD5: 0efd72b8a6d8fb9e84cb0d090c1298bb
PluggingCases.txt May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Plain Text - 7.3 KB - MD5: 043b5f7129d90dec4e71994b7a276455
SummaryReport.pdf May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles Adobe PDF - 2.2 MB - MD5: 870e39c3250a65c98b6c2b2f1a7cf165
Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis Oct 31, 2025 Maschler, Alexander; Snook, Paula; Schild, Lukas; Samnøy, Stig Frode; Kristensen, Lene; Dahle, Halgeir; Aalbu, Jan Helge; Henriksen, Helge; Nerhus, Sigurd Daniel; Scheiber, Thomas, 2025, "Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis", https://doi.org/10.18710/GBDO4X, DataverseNO, V1 Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis. The UAV datasets and camera recordings are available upon request.

References.txt

Nov 29, 2022 - Replication Data for: Peer Workers in Co-production and Co-creation in Mental Health and Substance Use Services: A Scoping Review

Plain Text - 450.4 KB -

Tabular separated text file

CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

May 3, 2024

Balakin, Boris; Saparbayeva, Nazerke, 2024, "CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles", https://doi.org/10.18710/ARTNTB, DataverseNO, V1

This dataset contains model data for the CFD-DEM simulation of plugging in multiphase flows with cohesive particles. The main results available from the simulations are presented in the dataset together with the overall description of the model. The second model is the random forest-based machine learning (ML) routine trained using experiments and...

00_ReadMe.txt

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Plain Text - 6.1 KB -

_gamma=0.78.txt

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Plain Text - 12.3 KB -

_gamma=0.88.txt

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Plain Text - 3.0 KB -

_gamma=0.8.txt

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Plain Text - 7.0 KB -

MLcode.py

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Python Source Code - 18.9 KB -

PluggingCases.txt

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Plain Text - 7.3 KB -

SummaryReport.pdf

May 3, 2024 - CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles

Adobe PDF - 2.2 MB -

Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis

Oct 31, 2025

Maschler, Alexander; Snook, Paula; Schild, Lukas; Samnøy, Stig Frode; Kristensen, Lene; Dahle, Halgeir; Aalbu, Jan Helge; Henriksen, Helge; Nerhus, Sigurd Daniel; Scheiber, Thomas, 2025, "Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis", https://doi.org/10.18710/GBDO4X, DataverseNO, V1

Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis. The UAV datasets and camera recordings are available upon request.

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