Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Brian M. de Silva"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Machine learning (ML) and artificial intelligence (AI) algorithms are now being used to automate the discovery of physics principles and governing equations from measurement data alone. However, positing a universal physical law from data is challeng
Externí odkaz:
https://doaj.org/article/4e4b19b4854045fb953f1d701e9055b5
Autor:
Brian M. de Silva, Steven L. Brunton, Jonathan Jonker, Nathan Hicks, Darren McDonald, Jennifer Klemisch, Nicholas Goebel, J. Nathan Kutz, Jared L. Callaham, Aleksandr Y. Aravkin
Publikováno v:
AIAA Journal. 59:3490-3503
Data-driven algorithms are developed to fully automate sensor fault detection in systems governed by underlying physics, with a particular focus on the flight test setting. The proposed machine lea...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::094b0c85b38cca92979c9a6a98a4e241
https://doi.org/10.2514/1.j059943
https://doi.org/10.2514/1.j059943
Autor:
J. Nathan Kutz, Steven L. Brunton, Frank Noé, Andreas Mardt, Brian M. de Silva, Stefan Klus, Martin K. Scherer, Moritz Hoffmann, Tim Hempel, Brooke E. Husic, Hao Wu
Generation and analysis of time-series data is relevant to many quantitative fields ranging from economics to fluid mechanics. In the physical sciences, structures such as metastable and coherent sets, slow relaxation processes, collective variables,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14a68165557b536d42631549ca74c81
http://arxiv.org/abs/2110.15013
http://arxiv.org/abs/2110.15013
Autor:
Steven L. Brunton, Brian M. de Silva, Bingni W. Brunton, Emily Clark, Krithika Manohar, J. Nathan Kutz
PySensors is a Python package for selecting and placing a sparse set of sensors for classification and reconstruction tasks. Specifically, PySensors implements algorithms for data-driven sparse sensor placement optimization for reconstruction (SSPOR)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a0356bf154607aa1fb554e74a645405
Autor:
Brian M. de Silva, Jean-Christophe Loiseau, Markus Quade, Kathleen Champion, J. Nathan Kutz, Steven L. Brunton
Publikováno v:
Journal of Open Source Software
Journal of Open Source Software, Open Journals, 2020, 5 (49), pp.1-4. ⟨10.21105/joss.02104⟩
Journal of Open Source Software, Open Journals, 2020, 5 (49), pp.1-4. ⟨10.21105/joss.02104⟩
Authors of papers retaincopyright and release the workunder a Creative CommonsAttribution 4.0 InternationalLicense (CC-BY) Scientists have long quantified empirical observations by developing mathematical models that characterize the observations, ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ff86c3b979b73e155038dac787e53b5
https://hal.archives-ouvertes.fr/hal-02648569/document
https://hal.archives-ouvertes.fr/hal-02648569/document
Publikováno v:
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence, Vol 3 (2020)
Frontiers in Artificial Intelligence, Vol 3 (2020)
Machine learning (ML) and artificial intelligence (AI) algorithms are now being used to automate the discovery of physics principles and governing equations from measurement data alone. However, positing a universal physical law from data is challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0efdee14cb0215339ba37e9256dd5cf5
https://pubmed.ncbi.nlm.nih.gov/33733144
https://pubmed.ncbi.nlm.nih.gov/33733144
Autor:
Emily N. Beylerian, Karen M. Lyons, Xia Du, Hayden Schaeffer, Maria-Grazia Ascenzi, Brian M. de Silva, James I. Harding, Weiguang Wang, Ben Gross, Hannah K. Kastein
Publikováno v:
Applied mathematics, vol 5, iss 18
Ascenzi, M-G; Du, X; Harding, JI; Beylerian, EN; de Silva, BM; Gross, BJ; et al.(2014). Automated Cell Detection and Morphometry on Growth Plate Images of Mouse Bone.. Applied mathematics, 5(18), 2866-2880. doi: 10.4236/am.2014.518273. UCLA: Retrieved from: http://www.escholarship.org/uc/item/1vx6p04x
Ascenzi, M-G; Du, X; Harding, JI; Beylerian, EN; de Silva, BM; Gross, BJ; et al.(2014). Automated Cell Detection and Morphometry on Growth Plate Images of Mouse Bone.. Applied mathematics, 5(18), 2866-2880. doi: 10.4236/am.2014.518273. UCLA: Retrieved from: http://www.escholarship.org/uc/item/1vx6p04x
Microscopy imaging of mouse growth plates is extensively used in biology to understand the effect of specific molecules on various stages of normal bone development and on bone disease. Until now, such image analysis has been conducted by manual dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ef3bb5ffd6157bcbfb25e8db001a704
https://escholarship.org/uc/item/1vx6p04x
https://escholarship.org/uc/item/1vx6p04x