Browsing NTNU Open by Author "Riemer-Sørensen, Signe"
Now showing items 1-10 of 10
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Analysis of full-scale riser responses in field conditions based on Gaussian mixture model
Wu, Jie; Eidnes, Sølve; Jin, Jingzhe; Lie, Halvor; Yin, Decao; Passano, Elizabeth Anne; Sævik, Svein; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2022)Offshore slender marine structures experience complex and combined load conditions from waves, current and vessel motions that may result in both wave frequency and vortex shedding response patterns. Field measurements ... -
Data-Driven Prediction of Vortex-Induced Vibration Response of Marine Risers Subjected to Three-Dimensional Current
Riemer-Sørensen, Signe; Wu, Jie; Lie, Halvor; Sævik, Svein; Kim, Sangwoo (Chapter, 2019)Slender marine structures such as deep-water marine risers are subjected to currents and will normally experience Vortex Induced Vibrations (VIV), which can cause fast accumulation of fatigue damage. The ocean current is ... -
Explainability and validity of statistical methods for genome-wide association studies: Extending Shapley-based explanation methods and adapting saddlepoint approximations
Johnsen, Pål Vegard (Doctoral theses at NTNU;2022:26, Doctoral thesis, 2022) -
Improved VIV Response Prediction Using Adaptive Parameters and Data Clustering
Wu, Jie; Yin, Decao; Lie, Halvor; Riemer-Sørensen, Signe; Sævik, Svein; Triantafyllou, Michael (Peer reviewed; Journal article, 2020)Slender marine structures such as deep-water riser systems are continuously exposed to currents, leading to vortex-induced vibrations (VIV) of the structure. This may result in amplified drag loads and fast accumulation ... -
Inductive Bias And The Information Bottleneck Method
Landsverk, Marius Mario Cervera (Master thesis, 2021)Induktiv bias referer til forskjellige arkitekturvalg som gjøres når man designer modeller for dyp læring. Spesielt så handler det om hvilke antakelser som gjøres om inngangsdataen, noe som i sin tur påvirker arkitekturvalget. ... -
Inferring feature importance with uncertainties with application to large genotype data
Johnsen, Pål Vegard; Strumke, Inga; Langaas, Mette; DeWan, Andrew Thomas; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)Estimating feature importance, which is the contribution of a prediction or several predictions due to a feature, is an essential aspect of explaining data-based models. Besides explaining the model itself, an equally ... -
Investigating the Capability of Generative Adversarial Networks of Capturing Implicit Laws in Physical Systems
Kohmann, Eivind (Master thesis, 2023)Utfordringen med tolkning av generative modeller, spesielt blant Generative Adversarial Networks (GANs), utgjør et betydelig problem når det handler om å forstå hva de faktisk lærer. Til tross for deres bemerkelsesverdige ... -
A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems
Haring, Mark A. M.; Grøtli, Esten Ingar; Riemer-Sørensen, Signe; Seel, Katrine; Hanssen, Kristian Gaustad (Peer reviewed; Journal article, 2022)Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. ... -
Pseudo-Hamiltonian neural networks with state-dependent external forces
Stasik, Alexander Johannes; Sterud, Camilla; Bøhn, Eivind Eigil; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)Hybrid machine learning based on Hamiltonian formulations has recently been successfully demonstrated for simple mechanical systems, both energy conserving and not energy conserving. We introduce a pseudo-Hamiltonian ... -
A supervised learning approach for optimal selection of bidding strategies in reservoir hydro
Riddervold, Hans Ole; Riemer-Sørensen, Signe; Szederjesi, Peter; Korpås, Magnus (Peer reviewed; Journal article, 2020)Power producers use a wide range of decision support systems to manage and plan for sales in the day-ahead electricity market. The available tools have advantages and disadvantages and the operators are often faced with ...