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of 1 309
pro vyhledávání: '"Martínez, Ernesto"'
Autor:
Galván, Gary
Publikováno v:
The Grove Dictionary of American Music, 2 ed., 2013.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780195314281.001.0001/acref-9780195314281-e-5425
Autor:
Duong-Trung, Nghia, Born, Stefan, Kim, Jong Woo, Schermeyer, Marie-Therese, Paulick, Katharina, Borisyak, Maxim, Cruz-Bournazou, Mariano Nicolas, Werner, Thorben, Scholz, Randolf, Schmidt-Thieme, Lars, Neubauer, Peter, Martinez, Ernesto
Machine learning (ML) is becoming increasingly crucial in many fields of engineering but has not yet played out its full potential in bioprocess engineering. While experimentation has been accelerated by increasing levels of lab automation, experimen
Externí odkaz:
http://arxiv.org/abs/2209.01083
Autor:
Kaspersetz, Lucas, Englert, Britta, Krah, Fabian, Martinez, Ernesto C., Neubauer, Peter, Cruz Bournazou, M. Nicolas
Publikováno v:
In SLAS Technology December 2024 29(6)
Autor:
Kumaresan, Dhileeban, Wang, Richard, Martinez, Ernesto, Cziva, Richard, Todeschini, Alberto, Reed, Colorado J, Vahabi, Hossein
When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, utilities companies rely on reserve power sources that typically come f
Externí odkaz:
http://arxiv.org/abs/2201.06173
Autor:
Kim, Jong Woo, Krausch, Niels, Aizpuru, Judit, Barz, Tilman, Lucia, Sergio, Martínez, Ernesto C., Neubauer, Peter, Bournazou, Mariano Nicolas Cruz
Optimal experimental design for parameter precision attempts to maximize the information content in experimental data for a most effective identification of parametric model. With the recent developments in miniaturization and parallelization of cult
Externí odkaz:
http://arxiv.org/abs/2112.10548
Optimal setting of several hyper-parameters in machine learning algorithms is key to make the most of available data. To this aim, several methods such as evolutionary strategies, random search, Bayesian optimization and heuristic rules of thumb have
Externí odkaz:
http://arxiv.org/abs/2112.08094
Autor:
Mione, Federico M., Kaspersetz, Lucas, Luna, Martin F., Aizpuru, Judit, Scholz, Randolf, Borisyak, Maxim, Kemmer, Annina, Schermeyer, M. Therese, Martinez, Ernesto C., Neubauer, Peter, Cruz Bournazou, M. Nicolas
Publikováno v:
In Computers and Chemical Engineering August 2024 187
Autor:
Martínez, Ernesto Eseverri1
Publikováno v:
Revista Técnica Tributaria. jul-sep2024, Vol. 3 Issue 146, p271-279. 9p.