Characterising particulate random media from near-surface backscattering: a machine learning approach to predict particle size and concentration

Autor: Gower, Artur L., Gower, Robert M., Deakin, Jonathan, Parnell, William J., Abrahams, I. David

Publikováno v: Gower, Artur L., et al. "Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration." EPL (Europhysics Letters) 122.5 (2018): 54001

To what extent can particulate random media be characterised using direct wave backscattering from a single receiver/source? Here, in a two dimensional setting, we show using a machine learning approach that both the particle radius and concentration

Externí odkaz: http://arxiv.org/abs/1801.05490

Digital transformation: Improving the odds of success.

Autor: Bughin, Jacques, Deakin, Jonathan, O'Beirne, Barbara

Publikováno v: McKinsey Quarterly. 2019, Issue 4, p1-5. 5p. 2 Graphs.

Implications | United Kingdom.

Autor: Deakin, Jonathan (AUTHOR), Meakin, Tom (AUTHOR), Olanrewaju, Tunde (AUTHOR), Nguyen, Van (AUTHOR)

Publikováno v: McKinsey Insights. 11/20/2023, pN.PAG-N.PAG. 1p.

Learning about random media from near-surface backscattering: using machine learning to measure particle size and concentration

Autor: Gower, Artur L., Gower, Robert M., Deakin, Jonathan, J. Parnell, William, Abrahams., I. David

Publikováno v: arXiv:1801.05490
arXiv:1801.05490, 2018

International audience; We ask what can be measured from a random media by using backscattered waves, emitted from and receivedat one source. We show that in 2D both the particle radius and concentration can be accurately measuredfor particles with D

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::108a649de367268100181d67de138201
https://hal.telecom-paris.fr/hal-02287766

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