Results 91 to 100 of about 1,753,791 (268)

Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics. [PDF]

J Biomech, 2023
Chatpattanasiri C, Franzetti G, Bonfanti M, Diaz-Zuccarini V, Balabani S.   +4 more
europepmc   +2 more sources

Application of Proper Orthogonal Decomposition to Elucidate Spatial and Temporal Correlations in Air Pollution Across the City of Liverpool, UK

Urban Science
Understanding the spatiotemporal distribution of air pollution is critical for improving urban air quality. Advances in wireless sensor networks have made it possible to monitor air pollution across cities at higher spatiotemporal resolutions.
Cammy Acosta Ramírez, Jonathan E. Higham   +1 more
doaj   +1 more source

Balancing accuracy and speed: A multi‐fidelity ensemble Kalman filter with a machine learning surrogate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We investigate the use of a multi‐fidelity ensemble Kalman filter (EnKF) in which the low‐fidelity model is a machine‐learning model, instead of a traditional low‐resolution model. Results with the Lorenz‐2005 and quasi‐geostrophic models show that we can achieve improved accuracy within the same computational budget compared with the standard EnKF ...
Jeffrey van der Voort, Martin Verlaan, Hanne Kekkonen   +2 more
wiley   +1 more source

Appendix_Figure_2 – Supplemental material for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines

, 2019
Supplemental material, Appendix_Figure_2 for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines by Federico Rulli, Stefano Fontanesi ...
Federico Rulli (6554567), Fabio Berni (6554576), Stefano Fontanesi (6554570), Alessandro d’Adamo (6554573)   +3 more
core   +1 more source

Tensor‐Based Reduction of Linear Parameter‐Varying State‐Space Models

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The linear parameter‐varying (LPV) framework is a powerful tool for controlling nonlinear (NL) and complex systems, but the conversion of NL models into LPV forms often results in high‐dimensional and overly conservative LPV models. To be able to apply control strategies, there is often a need for model reduction in order to reduce ...
Bogoljub Terzin, E. Javier Olucha, Amritam Das, Siep Weiland, Roland Tóth   +4 more
wiley   +1 more source

Unsteady characteristics analysis of compressors based on the proper orthogonal decomposition method [PDF]

AIP Advances
An aero-engine is often accompanied by a strong unsteady flow at near-stall condition, and increasing unsteady airflow eventually makes the engine unstable. To explore the unsteady flow characteristics, the Rotor 37 was taken as the research object.
Shan Ma, Xiaolin Sun, Lin Cheng, Yang Yu, Wen Cheng   +4 more
doaj   +1 more source

Appendix_Figure_5 – Supplemental material for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines

, 2019
Supplemental material, Appendix_Figure_5 for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines by Federico Rulli, Stefano Fontanesi ...
Federico Rulli (6554567), Fabio Berni (6554576), Stefano Fontanesi (6554570), Alessandro d’Adamo (6554573)   +3 more
core   +1 more source

The coevolution of trust and behavioral uncertainty: Toward a theory of vulnerability acceptance in entrepreneurial ventures

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary This conceptual study develops a process theory of vulnerability acceptance explaining how trust and behavioral uncertainty coevolve as entrepreneurial actors form, interpret, and realize opportunities. Trust is frequently invoked to explain creativity, exploration, and opportunity formation, yet remains theorized through ...
Lars Huemer, Jan Ketil Arnulf
wiley   +1 more source

PIV data reconstruction via proper orthogonal decomposition with a cross validation approach

Journal of Fluid Science and Technology, 2014
In this research, unsteady particle image velocimetry (PIV) data are reconstructed / analyzed by a proper orthogonal decomposition (POD) with a cross validation approach.
Wataru YAMAZAKI, Rei AKIMOTO, Hidenori YAMADA   +2 more
doaj   +1 more source

Appendix_Figure_1 – Supplemental material for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines

, 2019
Supplemental material, Appendix_Figure_1 for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines by Federico Rulli, Stefano Fontanesi ...
Federico Rulli (6554567), Fabio Berni (6554576), Stefano Fontanesi (6554570), Alessandro d’Adamo (6554573)   +3 more
core   +1 more source