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Cornejo Bueno, Laura María

Teoría de la Señal y Comunicaciones / Universidad de Alcalá

Publications

Modelling the kinetics of stain removal from knitted cotton fabrics in a commercial Front Loader Washing Machine (FLWM)

  • Bueno, L.
  • Laso, C.
  • Amador, C.
  • Bakalis, S.

Chemical Engineering Science (p. 176-185) - 2019

Editor: Elsevier Ltd

10.1016/j.ces.2019.02.008 View at source

  • ISSN/ISBN 0009-2509

Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression

  • Cornejo-Bueno, L.
  • Rodríguez-Mier, P.
  • Mucientes, M.
  • Nieto-Borge, J.C.
  • Salcedo-Sanz, S.

Ocean Engineering (p. 33-44) - 2018

Editor: Elsevier Ltd

10.1016/j.oceaneng.2018.04.063 View at source

  • ISSN/ISBN 0029-8018

Feature selection in machine learning prediction systems for renewable energy applications

  • Salcedo-Sanz, S.
  • Cornejo-Bueno, L.
  • Prieto, L.
  • Paredes, D.
  • García-Herrera, R.

Renewable and Sustainable Energy Reviews (p. 728-741) - 2018

Editor: Elsevier Ltd

10.1016/j.rser.2018.04.008 View at source

  • ISSN/ISBN 1879-0690

Integrated biodiesel facilities: review of glycerol-based production of fuels and chemicals

  • Almena, A.
  • Bueno, L.
  • Díez, M.
  • Martín, M.

Clean Technologies and Environmental Policy (p. 1639-1661) - 2018

Editor: Springer Verlag

10.1007/s10098-017-1424-z View at source

  • ISSN/ISBN 1618-9558

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

  • Salcedo-Sanz, S.
  • Deo, R.C.
  • Cornejo-Bueno, L.
  • Camacho-Gómez, C.
  • Ghimire, S.

Applied Energy (p. 79-94) - 2018

Editor: Elsevier Ltd

10.1016/j.apenergy.2017.10.076 View at source

  • ISSN/ISBN 0306-2619

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

  • Yaseen, Z.M.
  • Deo, R.C.
  • Hilal, A.
  • Abd, A.M.
  • Bueno, L.C.
  • Salcedo-Sanz, S.
  • Nehdi, M.L.
... View more Collapse

Advances in Engineering Software (p. 112-125) - 2018

Editor: Elsevier Ltd

10.1016/j.advengsoft.2017.09.004 View at source

  • ISSN/ISBN 1873-5339

Modeling the deposition of fluorescent whitening agents on cotton fabrics

  • Bueno, L.
  • Amador, C.
  • Bakalis, S.

AIChE Journal (p. 1305-1316) - 2018

Editor: John Wiley and Sons Inc.

10.1002/aic.16001 View at source

  • ISSN/ISBN 1547-5905

Bayesian optimization of a hybrid system for robust ocean wave features prediction

  • Cornejo-Bueno, L.
  • Garrido-Merchán, E.C.
  • Hernández-Lobato, D.
  • Salcedo-Sanz, S.

NEUROCOMPUTING (p. 818-828) - 31/1/2018

Editor: Elsevier B.V.

10.1016/j.neucom.2017.09.025 View at source

  • ISSN 09252312
  • ISSN/ISBN 1872-8286

Wind Power Ramp Events prediction with hybrid machine learning regression techniques and reanalysis data

  • Cornejo-Bueno, L.
  • Cuadra, L.
  • Jiménez-Fernández, S.
  • Acevedo-Rodríguez, J.
  • Prieto, L.
  • Salcedo-Sanz, S.

Energies - 2017

Editor: MDPI AG

10.3390/en10111784 View at source

  • ISSN/ISBN 1996-1073

Efficient Prediction of Low-Visibility Events at Airports Using Machine-Learning Regression

  • Cornejo-Bueno, L.
  • Casanova-Mateo, C.
  • Sanz-Justo, J.
  • Cerro-Prada, E.
  • Salcedo-Sanz, S.

Boundary-Layer Meteorology (p. 349-370) - 2017

Editor: Springer Netherlands

10.1007/s10546-017-0276-8 View at source

  • ISSN/ISBN 1573-1472

This researcher has no books.

Introduction to gPROMS® for chemical engineering

  • Amador, C.
  • Martín, M.
  • Bueno, L.

Introduction to Software for Chemical Engineers, Second Editionw (p. 373-459) - 2019

Editor: CRC Press

10.1201/9780429451010-10 View at source

  • ISSN/ISBN 9781138324220

A hybrid ensemble of heterogeneous regressors for wind speed estimation in wind farms

  • Cornejo-Bueno, L.
  • Acevedo-Rodríguez, J.
  • Prieto, L.
  • Salcedo-Sanz, S.

Studies in Computational Intelligence (p. 97-106) - 2018

Editor: Springer Verlag

10.1007/978-3-319-99626-4_9 View at source

  • ISSN/ISBN 1860-949X

Scale-up and Techno-economical Study for the Production of Polyesters from Glycerol

  • Bueno, L.
  • Toro, C.A.
  • Martín, M.

Computer Aided Chemical Engineering (p. 43-48) - 2014

Editor: Elsevier B.V.

10.1016/b978-0-444-63456-6.50008-9 View at source

  • ISSN/ISBN 1570-7946

Downscaling estadístico del servicio CAMS para la predicción de radiación solar global con datos Meteosat y técnicas de aprendizaje máquina

  • Laura María Cornejo Bueno
  • Carlos Casanova Mateo
  • María Julia Sanz Justo
  • Diego Gómez Aragón
  • P. Salvador
  • Sancho Salcedo Sanz
  • José Luis Casanova Roque
... View more Collapse

Teledetección: hacia una visión global del cambio climático (p. 229-232) - 2019

Editor: Ediciones Universidad de Valladolid (EdUVa)

  • ISSN/ISBN 978-84-1320-038-5

Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation

  • Cornejo-Bueno, L.
  • Casanova-Mateo, C.
  • Sanz-Justo, J.
  • Salcedo-Sanz, S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 163-170) - 2018

Editor: Springer Verlag

10.1007/978-3-030-03496-2_19 View at source

  • ISSN/ISBN 1611-3349

A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction

  • Cornejo-Bueno, L.
  • Aybar-Ruiz, A.
  • Jimenez-Fernandez, S.
  • Alexandre, E.
  • Nieto-Borge, J.C.
  • Salcedo-Sanz, S.

2016 IEEE Congress on Evolutionary Computation, CEC 2016 (p. 3817-3823) - 2016

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/cec.2016.7744273 View at source

  • ISSN/ISBN 9781509006229

Optimal placement of distributed generation in micro-grids with binary and integer-encoding evolutionary algorithms

  • Camacho-Gomez, C.
  • Mallol-Poyato, R.
  • Jimenez-Fernandez, S.
  • Cornejo-Bueno, L.
  • Salcedo-Sanz, S.

2016 IEEE Congress on Evolutionary Computation, CEC 2016 (p. 3630-3637) - 2016

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/cec.2016.7744249 View at source

  • ISSN/ISBN 9781509006229

Feature selection with a grouping genetic algorithm – Extreme learning machine approach for wind power prediction

  • Cornejo-Bueno, L.
  • Camacho-Gómez, C.
  • Aybar-Ruiz, A.
  • Prieto, L.
  • Salcedo-Sanz, S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 373-382) - 2016

Editor: Springer Verlag

10.1007/978-3-319-44636-3_35 View at source

  • ISSN/ISBN 1611-3349

Modelling the deposition of Fluorescent Whitening Agents (FWAs) on flat woven cotton fabrics

  • Bueno, L.
  • Amador, C.
  • Bakalis, S.

22nd International Congress of Chemical and Process Engineering, CHISA 2016 and 19th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2016 (p. 10-11) - 2016

Editor: Czech Society of Chemical Engineering

  • ISSN/ISBN 9781510859623

Modelling the deposition of actives on cotton fabrics during the washing process

  • Bueno, L.
  • Amador, C.
  • Bakalis, S.

Process Development Division 2016 - Core Programming Area at the 2016 AIChE Meeting (p. 129-131) - 2016

Editor: AIChE

  • ISSN/ISBN 9781510834460

Nested evolutionary algorithms for joint structure design and operation of micro-grids under variable electricity prices scenarios

  • Mallol-Poyato, R.
  • Jimenez-Fernandez, S.
  • Cornejo-Bueno, L.
  • Diaz-Villar, P.
  • Salcedo-Sanz, S.

INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings - 2015

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/inista.2015.7276735 View at source

  • ISSN/ISBN 9781467390965

Energy flux range classification by using a dynamic window autoregressive model

  • Gutiérrez, P.A.
  • Fernández, J.C.
  • Pérez-Ortiz, M.
  • Cornejo-Bueno, L.
  • Alexandre-Cortizo, E.
  • Salcedo-Sanz, S.
  • Hervás-Martínez, C.
... View more Collapse

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 92-102) - 2015

Editor: Springer Verlag

10.1007/978-3-319-19222-2_8 View at source

  • ISSN/ISBN 1611-3349

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 4/24/24 1:21 PM