E-LIB Suche - Ergebnisse für: González-Enrique, Javier

1

Chlorophyll-α forecasting using LSTM, bidirectional LSTM an..:

González-Enrique, Javier ; RodrÍguez-GarcÍa, María Inmaculada ; Ruiz-Aguilar, Juan Jesús...
Logic Journal of the IGPL. , 2024

Link: https://doi.org/10.1093/..

2

Air Pollution PM10 Forecasting Maps in the Maritime Area of..:

Rodríguez-García, María Inmaculada ; Carrasco-García, María Gema ; Ribeiro, Maria da Conceição Rodrigues...
Journal of Marine Science and Engineering. 12 (2024) 3 - p. 397 , 2024

Link: https://doi.org/10.3390/..

3

Long Short-Term Memory Approach for Short-Term Air Quality ..:

Rodríguez-García, María Inmaculada ; Carrasco-García, María Gema ; González-Enrique, Javier..
Sustainability. 15 (2023) 6 - p. 5089 , 2023

Link: https://doi.org/10.3390/..

4

Hyperspectral Technology for Oil Spills Detection by Using ..:

, In: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023); Lecture Notes in Networks and Systems,

Carrasco-García, María Gema ; Rodríguez-García, María Inmaculada ; González-Enrique, Javier... - p. 82-91 , 2023

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

5

Hourly pollutants forecasting using a deep learning approac..:

Moscoso-López, José Antonio ; González-Enrique, Javier ; Urda, Daniel..
Logic Journal of the IGPL. 31 (2022) 4 - p. 722-738 , 2022

Link: https://doi.org/10.1093/..

6

A machine learning-based forecasting system of perishable c..:

Moscoso-López, José Antonio ; Urda, Daniel ; Ruiz-Aguilar, Juan Jesús..
Neurocomputing. 452 (2021) - p. 487-497 , 2021

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

7

Deep neural networks architecture driven by problem-specifi..:

Urda, Daniel ; Veredas, Francisco J. ; González-Enrique, Javier...
Neural Computing and Applications. 33 (2021) 15 - p. 9403-9423 , 2021

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

8

A comparison of ranking filter methods applied to the estim..:

González-Enrique, Javier ; Ruiz-Aguilar, Juan Jesús ; Moscoso-López, José Antonio..
Stochastic Environmental Research and Risk Assessment. 35 (2021) 10 - p. 1999-2019 , 2021

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

9

Artificial Neural Networks, Sequence-to-Sequence LSTMs, and..:

González-Enrique, Javier ; Ruiz-Aguilar, Juan Jesús ; Moscoso-López, José Antonio...
Sensors. 21 (2021) 5 - p. 1770 , 2021

Link: https://doi.org/10.3390/..

10

A freight inspection volume forecasting approach using an a..:

Ruiz-Aguilar, Juan Jesús ; Urda, Daniel ; Moscoso-López, José Antonio..
Neurocomputing. 391 (2020) - p. 282-291 , 2020

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

11

A Clustering-Based Hybrid Support Vector Regression Model t..:

Ruiz-Aguilar, Juan Jesús ; Moscoso-López, José Antonio ; Urda, Daniel..
Applied Sciences. 10 (2020) 23 - p. 8326 , 2020

Link: https://doi.org/10.3390/..

12

OD Mobility Estimation Using Artificial Neural Networks:

, In: INCREaSE 2019,

Acosta Sánchez, Luis E. ; González-Enrique, Javier ; Ruiz-Aguilar, J. J... - p. 643-652 , 2019

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

13

Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approa..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,

Moscoso-López, José Antonio ; Ruiz-Aguilar, Juan Jesús ; Urda, Daniel.. - p. 818-831 , 2019

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

14

Spatial and meteorological relevance in NO2 estimations: a ..:

González-Enrique, Javier ; Turias, Ignacio J. ; Ruiz-Aguilar, Juan Jesús..
Stochastic Environmental Research and Risk Assessment. 33 (2019) 3 - p. 801-815 , 2019

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

15

A Deep Ensemble Neural Network Approach to Improve Predicti..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,

Urda Muñoz, Daniel ; Ruiz-Aguilar, Juan Jesus ; González-Enrique, Javier. - p. 806-817 , 2019

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