Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques.

Esperanza García Gonzalo https://zbmath.org/authors/?q=ai:garcia-gonzalo.esperanza https://orcid.org/0000-0002-3194-4448 https://www.wikidata.org/entity/Q88676196

P. J. García Nieto Esperanza García Gonzalo Gerard Arbat Miquel Duran-Ros T. Pujol Jaume Puig-Bargués Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques. 115606 2024 March 439 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2023.115606 db/journals/jcam/jcam439.html#NietoGADPP24

Esperanza García Gonzalo Paulino José García Nieto Javier Gracia Rodríguez Fernando Sánchez Lasheras Gregorio Fidalgo Valverde A support vector regression model for time series forecasting of the COMEX copper spot price. 775-784 2023 July 31 Log. J. IGPL 4 https://doi.org/10.1093/jigpal/jzac039 db/journals/igpl/igpl31.html#GonzaloNRLV23

Juan Carlos Álvarez Antón P. J. García Nieto Esperanza García Gonzalo Manuela González Vega Cecilio Blanco Viejo Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques. 115305 2023 December 433 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2023.115305 db/journals/jcam/jcam433.html#AntonNGVV23

Paulino José García Nieto Esperanza García Gonzalo José Pablo Paredes-Sánchez Antonio Bernardo Sánchez A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression. 6627-6640 2021 33 Neural Comput. Appl. 12 https://doi.org/10.1007/s00521-020-05427-z db/journals/nca/nca33.html#NietoGPS21

Paulino José García Nieto Esperanza García Gonzalo José Ramón Alonso Fernández Cristina Díaz Muñiz Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study. 7821-7838 2021 33 Neural Comput. Appl. 13 https://doi.org/10.1007/s00521-020-05523-0 db/journals/nca/nca33.html#NietoGFM21

Paulino José García Nieto Esperanza García Gonzalo José Pablo Paredes-Sánchez Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques. 17131-17145 2021 33 Neural Comput. Appl. 24 https://doi.org/10.1007/s00521-021-06304-z db/journals/nca/nca33.html#NietoGP21

Fernando Sánchez Lasheras Paulino José García Nieto Esperanza García Gonzalo Gregorio Fidalgo Valverde Alicja Krzemien Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines. 135-144 2021 SOCO https://doi.org/10.1007/978-3-030-87869-6_13 conf/softcomp/2021 db/conf/softcomp/soco2021.html#LasherasNGVK21 Esperanza García Gonzalo Paulino José García Nieto Gregorio Fidalgo Valverde Pedro Riesgo Fernández Fernando Sánchez Lasheras Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques. 145-154 2021 SOCO https://doi.org/10.1007/978-3-030-87869-6_14 conf/softcomp/2021 db/conf/softcomp/soco2021.html#GonzaloNVFL21

P. J. García Nieto Esperanza García Gonzalo Jaume Puig-Bargués C. Solé-Torres Miquel Duran-Ros Gerard Arbat A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression. 105292 2020 170 Comput. Electron. Agric. https://doi.org/10.1016/j.compag.2020.105292 db/journals/cea/cea170.html#NietoGPSDA20

Paulino José García Nieto Esperanza García Gonzalo Fernando Sánchez Lasheras Antonio Bernardo Sánchez Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model. 39-48 2020 6 Int. J. Interact. Multim. Artif. Intell. 4 https://www.ijimai.org/journal/bibcite/reference/2835 db/journals/ijimai/ijimai6.html#NietoGLS20

P. J. García Nieto Esperanza García Gonzalo Fernando Sánchez Lasheras José Ramón Alonso Fernández Cristina Díaz Muñiz A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study. 2020 366 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2019.112417 https://www.wikidata.org/entity/Q127347543 db/journals/jcam/jcam366.html#NietoGLFM20

Fernando Sánchez Lasheras Paulino José García Nieto Esperanza García Gonzalo Francisco Argüeso Gómez Francisco Javier Iglesias-Rodríguez Ana Suárez Sánchez Jesús Daniel Santos Rodríguez María Luisa Sánchez Rodríguez Joaquín González-Nuevo Laura Bonavera Luigi Toffolatti Susana del Carmen Fernández Menéndez Francisco Javier de Cos Juez Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines. 73-85 2020 HAIS https://doi.org/10.1007/978-3-030-61705-9_7 conf/hais/2020 db/conf/hais/hais2020.html#LasherasNGGISRR20 Fernando Sánchez Lasheras Javier Gracia Rodríguez Paulino José García Nieto Esperanza García Gonzalo Gregorio Fidalgo Valverde A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines. 691-701 2020 SOCO https://doi.org/10.1007/978-3-030-57802-2_66 conf/softcomp/2020 db/conf/softcomp/soco2020.html#LasherasRNGV20 Esperanza García Gonzalo Paulino José García Nieto Javier Gracia Rodríguez Fernando Sánchez Lasheras Gregorio Fidalgo Valverde Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression. 702-708 2020 SOCO https://doi.org/10.1007/978-3-030-57802-2_67 conf/softcomp/2020 db/conf/softcomp/soco2020.html#GonzaloNRLV20

P. J. García Nieto Esperanza García Gonzalo Fernando Sánchez Lasheras José Pablo Paredes-Sánchez P. Riesgo Fernández Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques. 284-301 2019 357 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2019.03.009 https://www.wikidata.org/entity/Q128243012 db/journals/jcam/jcam357.html#NietoGLPF19

P. J. García Nieto Esperanza García Gonzalo José Ramón Alonso Fernández Cristina Díaz Muñiz Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection. 461-480 2019 166 Math. Comput. Simul. https://doi.org/10.1016/j.matcom.2019.07.011 https://www.wikidata.org/entity/Q127441883 db/journals/mcs/mcs166.html#NietoGFM19

P. J. García Nieto Esperanza García Gonzalo José Pablo Paredes-Sánchez Antonio Bernardo Sánchez M. Menéndez Fernández Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques. 8823-8836 2019 31 Neural Comput. Appl. 12 https://doi.org/10.1007/s00521-018-3870-x https://www.wikidata.org/entity/Q128929732 db/journals/nca/nca31.html#NietoGPSF19

P. J. García Nieto Esperanza García Gonzalo Juan Carlos Álvarez Antón Víctor M. González Suárez Ricardo Mayo Bayón Felipe Mateos Martín A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance. 877-895 2018 330 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2017.02.031 db/journals/jcam/jcam330.html#NietoGASBM18

P. J. García Nieto Esperanza García Gonzalo Josep Bové Gerard Arbat Miquel Duran-Ros Jaume Puig-Bargués Modeling pressure drop produced by different filtering media in microirrigation sand filters using the hybrid ABC-MARS-based approach, MLP neural network and M5 model tree. 65-74 2017 139 Comput. Electron. Agric. https://doi.org/10.1016/j.compag.2017.05.008 db/journals/cea/cea139.html#NietoGBADP17

P. J. García Nieto Esperanza García Gonzalo José Ramón Alonso Fernández Cristina Díaz Muñiz A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain). 587-602 2017 309 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2016.01.045 db/journals/jcam/jcam309.html#NietoGFM17

P. J. García Nieto Esperanza García Gonzalo Gerard Arbat Miquel Duran-Ros Francisco Ramírez de Cartagena Jaume Puig-Bargués A new predictive model for the filtered volume and outlet parameters in micro-irrigation sand filters fed with effluents using the hybrid PSO-SVM-based approach. 74-80 2016 125 Comput. Electron. Agric. https://doi.org/10.1016/j.compag.2016.04.031 db/journals/cea/cea125.html#NietoGADCP16

P. J. García Nieto Esperanza García Gonzalo José Ramón Alonso Fernández Cristina Díaz Muñiz A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data. 293-303 2016 291 J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2015.01.009 db/journals/jcam/jcam291.html#NietoGFM16

Juan Carlos Álvarez Antón Paulino José García Nieto Esperanza García Gonzalo Juan Carlos Viera Pérez Manuela González Vega Cecilio Blanco Viejo A New Predictive Model for the State-of-Charge of a High-Power Lithium-Ion Cell Based on a PSO-Optimized Multivariate Adaptive Regression Spline Approach. 4197-4208 2016 65 IEEE Trans. Veh. Technol. 6 https://doi.org/10.1109/TVT.2015.2504933 db/journals/tvt/tvt65.html#AntonNGPVV16

P. J. García Nieto José Ramón Alonso Fernández Víctor M. González Suárez Cristina Díaz Muñiz Esperanza García Gonzalo Ricardo Mayo Bayón A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir: A case study in Northern Spain. 170-187 2015 260 Appl. Math. Comput. https://doi.org/10.1016/j.amc.2015.03.075 db/journals/amc/amc260.html#NietoFSMGB15

P. J. García Nieto José Ramón Alonso Fernández Esperanza García Gonzalo Cristina Díaz Muñiz Ricardo Mayo Bayón Víctor M. González Suárez A new predictive model for the cyanotoxin content from experimental cyanobacteria concentrations in a reservoir based on the ABC optimized support vector machine approach: A case study in Northern Spain. 49-59 2015 30 Ecol. Informatics https://doi.org/10.1016/j.ecoinf.2015.09.010 db/journals/ecoi/ecoi30.html#NietoFGMBS15

P. J. García Nieto Esperanza García Gonzalo Fernando Sánchez Lasheras Francisco Javier de Cos Juez Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability. 219-231 2015 138 Reliab. Eng. Syst. Saf. https://doi.org/10.1016/j.ress.2015.02.001 db/journals/ress/ress138.html#NietoGLJ15

Esperanza García Gonzalo Juan Luis Fernández Martínez Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions. 286-302 2014 249 Appl. Math. Comput. https://doi.org/10.1016/j.amc.2014.10.066 db/journals/amc/amc249.html#GonzaloM14

Esperanza García Gonzalo Juan Luis Fernández Martínez Ana Cernea Four-Points Particle Swarm Optimization Algorithms. 239-266 2014 22 J. Multiple Valued Log. Soft Comput. 3 db/journals/mvl/mvl22.html#GonzaloMC14 http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-22-number-3-2014/mvlsc-22-3-p-239-266/

Juan Luis Fernández Martínez Esperanza García Gonzalo Particle swarm optimisation: time for uniformisation. 16-33 2013 4 Int. J. Comput. Sci. Math. 1 https://doi.org/10.1504/IJCSM.2013.054671 db/journals/ijcsm/ijcsm4.html#MartinezG13

Juan Luis Fernández Martínez Ana Cernea Esperanza García Gonzalo Julián Velasco Bijaya Ketan Panigrahi Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem. 642-651 2013 SEMCCO (1) https://doi.org/10.1007/978-3-319-03753-0_57 conf/semcco/2013-1 db/conf/semcco/semcco2013-1.html#MartinezCGVP13

Juan Luis Fernández Martínez Esperanza García Gonzalo Stochastic stability and numerical Analysis of Two Novel Algorithms of the PSO Family: pp-Gpso and RR-Gpso. 2012 21 Int. J. Artif. Intell. Tools 3 https://doi.org/10.1142/S0218213012400118 db/journals/ijait/ijait21.html#MartinezG12

Juan Luis Fernández Martínez Tapan Mukerji Esperanza García Gonzalo Zulima Fernández-Muñiz Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques. 2889-2899 2011 54 Math. Comput. Model. 11-12 https://doi.org/10.1016/j.mcm.2011.07.009 db/journals/mcm/mcm54.html#MartinezMGM11

Juan Luis Fernández Martínez Esperanza García Gonzalo Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models. 405-423 2011 15 IEEE Trans. Evol. Comput. 3 https://doi.org/10.1109/TEVC.2010.2053935 db/journals/tec/tec15.html#MartinezG11

Juan Luis Fernández Martínez Esperanza García Gonzalo Saras Saraswathi Robert L. Jernigan Andrzej Kloczkowski Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling. 1-8 2011 ICSI (1) https://doi.org/10.1007/978-3-642-21515-5_1 conf/swarm/2011-1 db/conf/swarm/icsi2011-1.html#MartinezGSJK11

Juan Luis Fernández Martínez Esperanza García Gonzalo Zulima Fernández-Muñiz Grégoire Mariéthoz Tapan Mukerji Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques. 27-48 2010 1 Int. J. Appl. Evol. Comput. 3 https://doi.org/10.4018/jaec.2010070102 db/journals/ijaec/ijaec1.html#MartinezGMMM10

Juan Luis Fernández Martínez Tapan Mukerji Esperanza García Gonzalo Particle Swarm Optimization in High Dimensional Spaces. 496-503 2010 ANTS Conference https://doi.org/10.1007/978-3-642-15461-4_49 conf/antsw/2010 db/conf/antsw/ants2010.html#MartinezMG10 Juan Luis Fernández Martínez Esperanza García Gonzalo Two Algorithms of the Extended PSO Family. 237-242 2010 IJCCI (ICEC) conf/ijcci/2010-2 db/conf/ijcci/ijcci2010-2.html#MartinezG10 Juan Luis Fernández Martínez Esperanza García Gonzalo PSO Advances and Application to Inverse Problems. 147-154 2010 SEMCCO https://doi.org/10.1007/978-3-642-17563-3_18 conf/semcco/2010 db/conf/semcco/semcco2010.html#MartinezG10 Esperanza García Gonzalo Juan Luis Fernández Martínez Particle Swarm Optimization and Inverse Problems. 289-296 2010 SMPS https://doi.org/10.1007/978-3-642-14746-3_36 conf/smps/2010 db/conf/smps/smps2010.html#GonzaloM10

Juan Luis Fernández Martínez L. M. Pedruelo González Esperanza García Gonzalo AMTCLAB: A MATLAB<sup>®</sup>-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media. 2057-2064 2009 35 Comput. Geosci. 10 https://doi.org/10.1016/j.cageo.2008.11.013 db/journals/gandc/gandc35.html#MartinezGG09

Juan Luis Fernández Martínez Esperanza García Gonzalo The PSO family: deduction, stochastic analysis and comparison. 245-273 2009 3 Swarm Intell. 4 https://doi.org/10.1007/s11721-009-0034-8 db/journals/swarm/swarm3.html#MartinezG09

Juan Carlos Álvarez Antón Gerard Arbat Ricardo Mayo Bayón Laura Bonavera Josep Bové Francisco Ramírez de Cartagena Ana Cernea Miquel Duran-Ros José Ramón Alonso Fernández M. Menéndez Fernández P. Riesgo FernándezPedro Riesgo Fernández María Zulima Fernández-MuñizZulima Fernández-Muñiz Francisco Argüeso Gómez L. M. Pedruelo González Víctor M. González 0002Víctor M. González Suárez Joaquín González-Nuevo Francisco Javier Iglesias-Rodríguez Robert L. Jernigan Francisco Javier de Cos Juez Andrzej Kloczkowski Alicja Krzemien Fernando Sánchez Lasheras Grégoire Mariéthoz Felipe Mateos Martín Juan Luis Fernández Martínez Susana del Carmen Fernández Menéndez Tapan Mukerji Cristina Díaz Muñiz P. J. García NietoPaulino José García Nieto Bijaya K. PanigrahiBijaya Ketan Panigrahi José Pablo Paredes-Sánchez Juan Carlos Viera Pérez Jaume Puig-Bargués T. Pujol Javier Gracia Rodríguez Jesús Daniel Santos Rodríguez María Luisa Sánchez Rodríguez Ana Suárez Sánchez Antonio Bernardo Sánchez Saras Saraswathi C. Solé-Torres Luigi Toffolatti Gregorio Fidalgo Valverde Manuela González Vega Julián Velasco Cecilio Blanco Viejo