Current Research Information SysTem In Norway
 
 

 English version


 
Hovedside
Forskningsresultater/NVI
Forskere
Prosjekter
Forskningsenheter
Logg inn
Om Cristin
 
 
   
Eksporter til


Viser treff 1-50 av 170 << Forrige 1 2 3 4    Neste >>

2021
1 Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Tabib, Mandar.
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. Computers & Fluids 2021 ;Volum 221.
NTNU SINTEF Untitled
 
2 Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Trian, Iliescu; Noack, Bernd R..
On closures for reduced order models— A spectrum of first-principle to machine-learned avenues. Physics of Fluids 2021 ;Volum 33.
NTNU SINTEF Untitled
 
3 Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil.
Multifidelity computing for coupling full and reduced order models. PLOS ONE 2021 ;Volum 16.(2)
SINTEF NTNU Untitled
 
4 Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu.
Nonlinear proper orthogonal decomposition for convection-dominated flows. Physics of Fluids 2021
NTNU SINTEF Untitled
 
5 Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer.
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. arXiv 2021
NTNU SINTEF Untitled
 
6 Elsetrønning, Andrine; Rasheed, Adil; Bekker, Jon; San, Omer.
On the effectiveness of signal decomposition, feature extraction and selection to identify lung crackles. arXiv 2021
NTNU SINTEF Untitled
 
7 Gupta, Prateek; Taskar, Bhushan; Steen, Sverre; Rasheed, Adil.
Statistical modeling of Ship’s hydrodynamic performance indicator. Applied Ocean Research 2021 ;Volum 111. s. -
NTNU Untitled
 
8 Havenstrøm, Simen Theie; Rasheed, Adil; San, Omer.
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers in Robotics and AI 2021 ;Volum 7.
NTNU Untitled
 
9 Larsen, Thomas Nakken; Teigen, Halvor Ødegård; Laache, Torkel; Varagnolo, Damiano; Rasheed, Adil.
Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters. Frontiers in Robotics and AI 2021 ;Volum 8. s. 287-287
NTNU SINTEF Untitled
 
10 Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan.
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process. Journal of Process Control 2021 ;Volum 105. s. 62-77
NTNU SINTEF Untitled
 
11 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
Hybrid analysis and modeling for next generation of digital twins. Journal of Physics: Conference Series (JPCS) 2021 ;Volum 2018.(1) s. 012031-012031
NTNU SINTEF Untitled
 
12 Pawar, Suraj; San, Omer; Nair, Aditya; Rasheed, Adil; Kvamsdal, Trond.
Model fusion with physics-guided machine learning: Projection-based reduced-order modeling. Physics of Fluids 2021 ;Volum 33.(6) s. 067123-
NTNU Untitled
 
13 Pawar, Suraj; San, Omer; Rasheed, Adil; Navon, Ionel M.
A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations. GEM - International Journal on Geomathematics 2021
NTNU Untitled
 
14 Rasheed, Adil; Kvamsdal, Trond.
Hybrid Analysis and Modeling. Lectures at the Center for Modeling of Coupled Subsurface Dynamics, University of Bergen.; 2021-04-09 - 2021-04-23
NTNU Untitled
 
15 Rasheed, Adil; Lekkas, Anastasios M..
Organization of minisymposium on Explaionable AI and Hybrid Analysis and Modeling. Computational Sciences and AI in Industry; 2021-06-07 - 2021-06-09
NTNU Untitled
 
16 San, Omer; Rasheed, Adil; Kvamsdal, Trond.
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. GAMM-Mitteilungen 2021 s. e202100007-
NTNU SINTEF Untitled
 
17 Stavelin, Herman; Rasheed, Adil; San, Omer; Hestnes, Arne Johan.
Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis. Ecological Informatics 2021 ;Volum 62.
NTNU SINTEF Untitled
 
18 Sundby, Tiril; Graham, Julia Maria; Rasheed, Adil; Tabib, Mandar; San, Omer.
Geometric Change Detection in Digital Twins using 3D Machine Learning. Digital 2021 ;Volum 1.(2) s. 111-129
NTNU SINTEF Untitled
 
19 Tabib, Mandar; Midtbø, Knut Helge; Rasheed, Adil; Kvamsdal, Trond; Skaslien, Tor.
A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting. Journal of Physics: Conference Series (JPCS) 2021 ;Volum 2018.
NTNU SINTEF MET Untitled
 
20 Tabib, Mandar; Pawar, Suraj; Ahmed, Shady E; Rasheed, Adil; San, Omer.
A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold. Journal of Physics: Conference Series (JPCS) 2021 ;Volum 2018.
NTNU SINTEF Untitled
 
21 Tabib, Mandar; Rasheed, Adil.
Drone-based transport of biological material: Wind and turbulence prediction at OUS, Hospital for path planning.. Trondheim, Norway.: SINTEF Report 2021 (ISBN 978-82-14-07670-7) 33 s.
SINTEF NTNU Untitled
 
22 Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu.
Machine learning with subsequent physics-based analytics for guiding transport planning. I: Proceedings of the international conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings 2021 ISBN 978-1-7281-5935-5.
NTNU SINTEF TØI Untitled
 
23 Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van.
Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades. Journal of Physics: Conference Series (JPCS) 2021 ;Volum 2018.
NTNU SINTEF Untitled
 
2020
24 Ahmed, Shady E; Bhar, Kinjal; San, Omer; Rasheed, Adil.
Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction. Physical review. E 2020 ;Volum 102.(4) s. -
NTNU Untitled
 
25 Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil.
Reduced order modeling of fluid flows: Machine learning, Kolmogorov barrier, closure modeling, and partitioning. arXiv.org 2020
NTNU Untitled
 
26 Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil.
Interface learning of multiphysics and multiscale systems. Physical review. E 2020 ;Volum 102.(5) s. -
NTNU Untitled
 
27 Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu.
A long-short term memory for hybrid uplifted reduced order models.. Physica D : Non-linear phenomena 2020 ;Volum 409. s. -
NTNU Untitled
 
28 Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil.
Fast divergence-conforming reduced basis methods for stationary and transient flow problems. Journal of Physics: Conference Series (JPCS) 2020 ;Volum 1669. s. -
NTNU SINTEF Untitled
 
29 Havenstrøm, Simen Theie; Sterud, Camilla; Rasheed, Adil; San, Omer.
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. arXiv.org 2020
NTNU Untitled
 
30 Meyer, Eivind; Heiberg, Amalie; Rasheed, Adil; San, Omer.
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. IEEE Access 2020 ;Volum 8. s. 165344-165364
NTNU SINTEF Untitled
 
31 Meyer, Eivind.
On Course Towards Model-Free Guidance: A Self-Learning Approach To Dynamic Collision Avoidance for Autonomous Surface Vehicles. Norges teknisk-naturvitenskapelige universitet 2020 70 s.
NTNU Untitled
 
32 Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer.
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. IEEE Access 2020 ;Volum 8. s. 41466-41481
NTNU SINTEF Untitled
 
33 Nakken, Thomas.
On the applicability of a perceptually driven generative-adversarial framework for super-resolution of wind fields in complex terrain. Norges teknisk-naturvitenskapelige universitet 2020 111 s.
NTNU Untitled
 
34 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
An evolve-then-correct reduced order model for hidden fluid dynamics. Mathematics 2020 ;Volum 8.(4) s. -
NTNU Untitled
 
35 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
Data-driven recovery of hidden physics in reduced order modeling of fluid flows. Physics of Fluids 2020 ;Volum 32.(3) s. -
NTNU Untitled
 
36 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil; Navon, Ionel M.
Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows. Physics of Fluids 2020 ;Volum 32.(7) s. -
NTNU Untitled
 
37 Pawar, Suraj; San, Omer; Aksoylu, Burak; Rasheed, Adil; Kvamsdal, Trond.
Physics guided machine learning using simplified theories. Physics of Fluids 2020 ;Volum 33.(1) s. 011701-
NTNU SINTEF Untitled
 
38 Pawar, Suraj; San, Omer; Rasheed, Adil; Vedula, Prakash.
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence. Theoretical and Computational Fluid Dynamics 2020 ;Volum 34. s. 429-455
NTNU Untitled
 
39 Rasheed, Adil; San, Omer; Kvamsdal, Trond.
Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access 2020 ;Volum 8. s. 21980-22012
NTNU SINTEF Untitled
 
40 Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond.
Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models. Ocean Engineering 2020 ;Volum 196.
NTNU SINTEF Untitled
 
41 Tabib, Mandar; Midtbø, Knut Helge; Skaslien, Tor; Rasheed, Adil; Kvamsdal, Trond.
Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up. I: Proceedings from the 14th International Conference on CFD in Oil & Gas, Metallurgical and Process Industries, SINTEF, Trondheim, Norway, October 12–14, 2020. SINTEF akademisk forlag 2020 ISBN 978-82-536-1684-1. s. 155-162
MET NTNU SINTEF Untitled
 
42 Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Tabib, Mandar; Kvamsdal, Trond.
GANs enabled super-resolution reconstruction of wind field. Journal of Physics: Conference Series (JPCS) 2020 ;Volum 1669.(012029)
NTNU SINTEF Untitled
 
43 Tran, Duyen; Rasheed, Adil.
Convolutional Neural Network and Generative Adversarial Networks Enabled Resolution Enhancement of Numerical Simulations. Norges teknisk-naturvitenskapelige universitet 2020 58 s.
NTNU Untitled
 
44 Vaddireddy, Harsha; Rasheed, Adil; Staples, Anne; San, Omer.
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data. Physics of Fluids 2020 ;Volum 32.(015113) s. -
NTNU Untitled
 
2019
45 Ahmed, Shady E; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil; Navon, Ionel M.
Memory embedded non-intrusive reduced order modeling of non-ergodic flows. Physics of Fluids 2019 ;Volum 31.(12) s. -
NTNU Untitled
 
46 Ahmed, Shady; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil.
LSTM based nonintrusive ROM of convective flows. 72nd Annual Meeting of the APS Division of Fluid Dynamics; 2019-11-23 - 2019-11-26
NTNU Untitled
 
47 Fonn, Eivind; Brummelen, Harald van; Kvamsdal, Trond; Rasheed, Adil.
Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow. Computer Methods in Applied Mechanics and Engineering 2019 ;Volum 346. s. 486-512
NTNU SINTEF Untitled
 
48 Gupta, Prateek; Steen, Sverre; Rasheed, Adil.
Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship. I: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. Volume 7A: Ocean Engineering. ASME Press 2019 ISBN 978-0-7918-5884-4. s. -
NTNU Untitled
 
49 Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash.
Data-driven filter estimation for the sub-grid modelling of Kraichnan turbulence,. SIAM Conference on Computational Science and Engineering; 2019-02-25 - 2019-03-01
SINTEF Untitled
 
50 Pawar, Suraj; Rahman, Sk. Mashfiqur; Vaddireddy, H; San, Omer; Rasheed, Adil; Vedula, Prakash.
A deep learning enabler for non-intrusive reduced order modeling of fluid flows. Physics of Fluids 2019 ;Volum 31.(8) s. -
NTNU Untitled
 
    Vis neste liste