Omer San
Orcid: 0000-0002-2241-4648
According to our database1,
Omer San
authored at least 49 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2023
Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems.
Comput. Math. Appl., September, 2023
SIAM J. Sci. Comput., June, 2023
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
CoRR, 2023
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
IEEE Access, 2023
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality.
IEEE Access, 2023
2022
Neural Networks, 2022
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.
Neural Networks, 2022
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks, 2022
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems.
CoRR, 2022
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations.
CoRR, 2022
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Appl. Soft Comput., 2022
2021
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis.
Ecol. Informatics, 2021
A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow.
CoRR, 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution.
CoRR, 2021
2020
J. Comput. Appl. Math., 2020
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles.
Frontiers Robotics AI, 2020
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification.
CoRR, 2020
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction.
CoRR, 2020
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles.
CoRR, 2020
IEEE Access, 2020
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning.
IEEE Access, 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning.
IEEE Access, 2020
2019
CoRR, 2019
An artificial neural network framework for reduced order modeling of transient flows.
Commun. Nonlinear Sci. Numer. Simul., 2019
2018
J. Sci. Comput., 2018
J. Comput. Appl. Math., 2018
Adv. Comput. Math., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
A novel dynamic framework for subgrid scale parametrization of mesoscale eddies in quasigeostrophic turbulent flows.
Comput. Math. Appl., 2017
2015
A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation.
Adv. Comput. Math., 2015
2013
J. Comput. Phys., 2013