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Fabian Guignard

Showing results (1-10 of 4) with videos related to

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Chaos (Woodbury, N.Y.)|May 3, 2019
Community detection analysis in wind speed-monitoring systems using mutual information-based complex networkMohamed Laib, Fabian Guignard, Mikhail Kanevski, et al.
Scientific Reports|December 18, 2020
A novel framework for spatio-temporal prediction of environmental data using deep learningFederico Amato, Fabian Guignard, Sylvain Robert, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Fisher-Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time SeriesFabian Guignard, Dasaraden Mauree, Michele Lovallo, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|September 14, 2022
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potentialFederico Amato, Fabian Guignard, Alina Walch, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Chaos (Woodbury, N.Y.)|May 3, 2019
Community detection analysis in wind speed-monitoring systems using mutual information-based complex networkMohamed Laib, Fabian Guignard, Mikhail Kanevski, et al.
Scientific Reports|December 18, 2020
A novel framework for spatio-temporal prediction of environmental data using deep learningFederico Amato, Fabian Guignard, Sylvain Robert, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Fisher-Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time SeriesFabian Guignard, Dasaraden Mauree, Michele Lovallo, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|September 14, 2022
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potentialFederico Amato, Fabian Guignard, Alina Walch, et al.
Pageof 1