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Sindre Stenen Blakseth
Sindre Stenen Blakseth
PhD Candidate, Norwegian University of Science and Technology / Master of Science, SINTEF Energy
Verified email at sintef.no
Title
Cited by
Cited by
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
352022
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
282022
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
162023
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations
SS Blakseth
NTNU, 2021
62021
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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Articles 1–5