Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Rimple Sandhu"'
Publikováno v:
Movement Ecology, Vol 12, Iss 1, Pp 1-20 (2024)
Abstract Background Spatially explicit simulation models of animal movements through the atmosphere necessarily require a representation of the spatial and temporal variation of atmospheric conditions. In particular, for movements of soaring birds th
Externí odkaz:
https://doaj.org/article/9b26dabf2c27429eb08906cba6393b34
Autor:
Sunita Mulpuru, Tetyana Kendzerska, Thomas Walker, Mohammad Khalil, Brandon Robinson, Jodi D Edwards, Chris L Pettit, Dominique Poirel, John M Daly, Mehdi Ammi, Peter J Taillon, Rimple Sandhu, Shirley Mills, Valerie Percival, Victorita Dolean, Abhijit Sarkar
Publikováno v:
BMJ Open, Vol 12, Iss 3 (2022)
Externí odkaz:
https://doaj.org/article/ad99dbc9afae49b2a726d9d92f6710e2
Autor:
Stanley E. Young, Erik A. Bensen, Lei Zhu, Christopher Day, J. Sam Lott, Rimple Sandhu, Charles Tripp, Peter Graf
Publikováno v:
International Conference on Transportation and Development 2022.
Autor:
Brandon Robinson, Jodi D Edwards, Tetyana Kendzerska, Chris L Pettit, Dominique Poirel, John M Daly, Mehdi Ammi, Mohammad Khalil, Peter J Taillon, Rimple Sandhu, Shirley Mills, Sunita Mulpuru, Thomas Walker, Valerie Percival, Victorita Dolean, Abhijit Sarkar
IntroductionThe complex dynamics of the coronavirus disease 2019 (COVID-19) pandemic has made obtaining reliable long-term forecasts of the disease progression difficult. Simple mechanistic models with deterministic parameters are useful for short-te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f835de418e195c747e57d6820d19efc5
https://strathprints.strath.ac.uk/79926/1/Robinson_etal_BMJOpen_2022_calibration_algorithm_study_of_clinical_implications_of_the_population_level_spread_of_COVID_19.pdf
https://strathprints.strath.ac.uk/79926/1/Robinson_etal_BMJOpen_2022_calibration_algorithm_study_of_clinical_implications_of_the_population_level_spread_of_COVID_19.pdf
Publikováno v:
Proposed for presentation at the Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology held September 26-29, 2021 in San Diego, California..
Autor:
Brandon Robinson, Philippe Bisaillon, Rimple Sandhu, Mohammad Khalil, Chris Pettit, Dominique Poirel, Abhijit Sarkar
Publikováno v:
Proposed for presentation at the Ensemble Kalman Filter Workshop held June 7-11, 2021..
Autor:
Rimple Sandhu, Charles Tripp, Eliot Quon, Regis Thedin, Michael Lawson, David Brandes, Christopher J. Farmer, Tricia A. Miller, Caroline Draxl, Paula Doubrawa, Lindy Williams, Adam E. Duerr, Melissa A. Braham, Todd Katzner
Publikováno v:
Ecological Modelling. 466:109876
Aeroelastic instabilities are some of the critical issues affecting the reliability and safety of military and commercial aircraft. In this study, a coupled computational fluid dynamics and computational structural dynamics (CFD-CSD) capability was d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f074f7e49ffdc0b6775279cbb27583c8
https://nrc-publications.canada.ca/eng/view/object/?id=07a852e0-ddbf-4490-89b6-a8f55f118bf0
https://nrc-publications.canada.ca/eng/view/object/?id=07a852e0-ddbf-4490-89b6-a8f55f118bf0
Autor:
Abhijit Sarkar, Dominique Poirel, Rimple Sandhu, Chris L. Pettit, C.S. Manohar, Philippe Bisaillon, Mohammad Khalil
Publikováno v:
Journal of Sound and Vibration. 522:116418
We report a Bayesian framework for concurrent selection of physics-based models and (modelling) error models. We investigate the use of colored noise to capture the mismatch between the predictions of calibrated models and observational data that can