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Cited by
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Since 2019
Citations
85
85
h-index
4
4
i10-index
3
3
0
44
22
2021
2022
2023
2024
1
16
44
23
Public access
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3 articles
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Sindre Stenen Blakseth
PhD Candidate, Norwegian University of Science and Technology / Master of Science, SINTEF Energy
Verified email at sintef.no
Hybrid modelling
Finite element method
Liquid Hydrogen
Digital Twins
Thermodynamics
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Year
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
SS Blakseth, A Rasheed, T Kvamsdal, O San
Neural Networks 146, 181-199
, 2022
35
2022
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
SS Blakseth, A Rasheed, T Kvamsdal, O San
Applied Soft Computing 128, 109533
, 2022
28
2022
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions
MA Belay, SS Blakseth, A Rasheed, P Salvo Rossi
Sensors 23 (5), 2844
, 2023
16
2023
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations
SS Blakseth
NTNU
, 2021
6
2021
Improving Erroneous Physics-Based Models Using the Corrective Source Term Approach
S Sørbø, SS Blakseth, A Rasheed, T Kvamsdal, O San
Available at SSRN 4269479
, 0
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