Publicaciones en las que colabora con PAULINO JOSE GARCIA NIETO (19)

2023

  1. Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques

    Journal of Computational and Applied Mathematics, Vol. 433

2019

  1. Predictive model of gas consumption and air emissions of a lime kiln in a kraft process using the ABC/MARS-based technique

    International Journal of Advanced Manufacturing Technology, Vol. 100, Núm. 5-8, pp. 1549-1562

2018

  1. A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance

    Journal of Computational and Applied Mathematics, Vol. 330, pp. 877-895

2016

  1. 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

    IEEE Transactions on Vehicular Technology, Vol. 65, Núm. 6, pp. 4197-4208

  2. A comparison of machine learning techniques for the centerline segregation prediction in continuous cast steel slabs

    XXVIIth Edition of the Mathematical Modelling Series. Mathematical Modelling In Engineering & Human Behaviour, 2016

2015

  1. A hybrid PCA-CART-MARS-based prognostic approach of the remaining useful life for aircraft engines

    Sensors (Switzerland), Vol. 15, Núm. 3, pp. 7062-7083

  2. 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

    Applied Mathematics and Computation, Vol. 260, pp. 170-187

  3. 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

    Ecological Informatics, Vol. 30, pp. 49-59

  4. A new predictive model of centerline segregation in continuous cast steel slabs by using multivariate adaptive regression splines approach

    Materials, Vol. 8, Núm. 6, pp. 3562-3583

  5. Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines

    Environmental Science and Pollution Research, Vol. 22, Núm. 9, pp. 6642-6659

  6. Modeling the milling tool wear by using multivariate adaptive regression splines

    Milling: Fundamentals, Processes and Technologies (Nova Science Publishers, Inc.), pp. 32-50

  7. Modelling algal abnormal proliferation in a reservoir using support vector regression: A case study

    Ecohydrology, Vol. 8, Núm. 6, pp. 1109-1118

2014

  1. Modeling eutrophication and risk prevention in a reservoir in the Northwest of Spain by using multivariate adaptive regression splines analysis

    Ecological Engineering, Vol. 68, pp. 80-89

  2. Nonlinear air quality modeling using multivariate adaptive regression splines in Gijón urban area (Northern Spain) at local scale

    Applied Mathematics and Computation, Vol. 235, pp. 50-65

  3. PM10 modeling in the Oviedo urban area (Northern Spain) by using multivariate adaptive regression splines

    AIP Conference Proceedings

2013

  1. Application of a mars-based regression model to the air quality study at local scale in the Gijón urban area (Northern Spain)

    Air Quality: Environmental Indicators, Monitoring and Health Implications (Nova Science Publishers, Inc.), pp. 43-72

  2. Battery state-of-charge estimator using the MARS technique

    IEEE Transactions on Power Electronics, Vol. 28, Núm. 8, pp. 3798-3805

  3. Battery state-of-charge estimator using the SVM technique

    Applied Mathematical Modelling, Vol. 37, Núm. 9, pp. 6244-6253

  4. Support vector machines used to estimate the battery state of charge

    IEEE Transactions on Power Electronics, Vol. 28, Núm. 12, pp. 5919-5926