E-LIB Suche - Ergebnisse für: García-Gonzalo, E.

1

Forecast of the outlet turbidity and filtered volume in dif..:

García-Nieto, P.J. ; García-Gonzalo, E. ; Arbat, G....
Journal of Computational and Applied Mathematics. 439 (2024) - p. 115606 , 2024

Link: https://doi.org/10.1016/..

2

Data-driven state-of-charge prediction of a storage cell us..:

Álvarez Antón, J.C. ; García-Nieto, P.J. ; García-Gonzalo, E...
Journal of Computational and Applied Mathematics. 433 (2023) - p. 115305 , 2023

Link: https://doi.org/10.1016/..

3

Modeling eutrophication risks in Tanes reservoir by using a..:

García-Nieto, Paulino José ; García-Gonzalo, E. ; Alonso Fernández, José Ramón.
Stochastic Environmental Research and Risk Assessment. 36 (2021) 9 - p. 2561-2580 , 2021

Link: https://doi.org/10.1007/..

4

A hybrid DE optimized wavelet kernel SVR-based technique fo..:

García-Nieto, P.J. ; García-Gonzalo, E. ; Sánchez Lasheras, F...
Journal of Computational and Applied Mathematics. 366 (2020) - p. 112417 , 2020

Link: https://doi.org/10.1016/..

5

A new predictive model for the outlet turbidity in micro-ir..:

García Nieto, P.J. ; García-Gonzalo, E. ; Puig-Bargués, J....
Computers and Electronics in Agriculture. 170 (2020) - p. 105292 , 2020

Link: https://doi.org/10.1016/..

6

Modeling of the algal atypical increase in La Barca reservo..:

García-Nieto, P.J. ; García-Gonzalo, E. ; Fernández, J.R. Alonso.
Mathematics and Computers in Simulation. 166 (2019) - p. 461-480 , 2019

Link: https://doi.org/10.1016/..

7

Modeling algal atypical proliferation using the hybrid DE–M..:

García-Nieto, P.J. ; García-Gonzalo, E. ; Alonso Fernández, J.R..
Ecological Engineering. 130 (2019) - p. 198-212 , 2019

Link: https://doi.org/10.1016/..

8

Water eutrophication assessment relied on various machine l..:

García Nieto, P.J. ; García-Gonzalo, E. ; Alonso Fernández, J.R..
Ecological Modelling. 404 (2019) - p. 91-102 , 2019

Link: https://doi.org/10.1016/..

9

PM10 concentration forecasting in the metropolitan area of ..:

García Nieto, P.J. ; Sánchez Lasheras, F. ; García-Gonzalo, E..
Science of The Total Environment. 621 (2018) - p. 753-761 , 2018

Link: https://doi.org/10.1016/..

10

Estimation of PM10 concentration from air quality data in t..:

García Nieto, P. J. ; Sánchez Lasheras, F. ; García-Gonzalo, E..
Stochastic Environmental Research and Risk Assessment. 32 (2018) 11 - p. 3287-3298 , 2018

Link: https://doi.org/10.1007/..

11

Predictive modelling of the higher heating value in biomass..:

García Nieto, P. J. ; García-Gonzalo, E. ; Paredes-Sánchez, J. P...
Neural Computing and Applications. 31 (2018) 12 - p. 8823-8836 , 2018

Link: https://doi.org/10.1007/..

12

A comparison of several machine learning techniques for the..:

García Nieto, P.J. ; García-Gonzalo, E. ; Álvarez Antón, J.C....
Journal of Computational and Applied Mathematics. 330 (2018) - p. 877-895 , 2018

Link: https://doi.org/10.1016/..

13

Modeling pressure drop produced by different filtering medi..:

García Nieto, P.J. ; García-Gonzalo, E. ; Bové, J....
Computers and Electronics in Agriculture. 139 (2017) - p. 65-74 , 2017

Link: https://doi.org/10.1016/..

14

Predictive modelling of eutrophication in the Pozón de la D..:

García-Nieto, P. J. ; García-Gonzalo, E. ; Alonso Fernández, J. R..
Journal of Mathematical Biology. 76 (2017) 4 - p. 817-840 , 2017

Link: https://doi.org/10.1007/..

15

A hybrid wavelet kernel SVM-based method using artificial b..:

García Nieto, P.J. ; García-Gonzalo, E. ; Alonso Fernández, J.R..
Journal of Computational and Applied Mathematics. 309 (2017) - p. 587-602 , 2017

Link: https://doi.org/10.1016/..