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A new improved study of cyanotoxins presence from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) using the MARS technique

The Science of the total environment, 2012-07, Vol.430, p.88-92

2012

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Study of cyanotoxins presence from experimental cyanobacteria concentrations using a new data mining methodology based on multivariate adaptive regression splines in Trasona reservoir (Northern Spain)

Journal of hazardous materials, 2011-11, Vol.195, p.414-421

2011

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Forecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique

Ecological engineering, 2013-04, Vol.53, p.68-78

2013

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Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model

Mathematical and computer modelling, 2010-10, Vol.52 (7), p.1177-1184

2010

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PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

The Science of the total environment, 2018-04, Vol.621, p.753-761

2018

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Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

Reliability engineering & system safety, 2015-06, Vol.138, p.219-231

2015

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Battery state-of-charge estimator using the SVM technique

Applied mathematical modelling, 2013-05, Vol.37 (9), p.6244-6253

2013

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Applying the K-nearest neighbor technique to the classification of workers according to their risk of suffering musculoskeletal disorders

International journal of industrial ergonomics, 2016-03, Vol.52, p.92-99

2016

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Comparison of wavelet continuous transform and signal averaged ECG for high frequency content and late potential detection in healthy individuals

European heart journal, 2020-11, Vol.41 (Supplement_2)

2020

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QSOs sigposting cluster size halos as gravitational lenses: halo mass, projected mass density profile and concentration at z ∼0.7

Journal of cosmology and astroparticle physics, 2019-09, Vol.2019 (9), p.21-21

2019

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Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)

Environmental research, 2013-04, Vol.122, p.1-10

2013

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Prediction of work-related accidents according to working conditions using support vector machines

Applied mathematics and computation, 2011-12, Vol.218 (7), p.3539-3552

2011

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Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus

Applied mathematics and computation, 2012-10, Vol.219 (2), p.755-763

2012

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Artificial neural networks applied to cancer detection in a breast screening programme

Mathematical and computer modelling, 2010-10, Vol.52 (7), p.983-991

2010

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Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process

Applied mathematics and computation, 2014-01, Vol.227, p.164-170

2014

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Application of neural networks to the study of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women

Mathematical and computer modelling, 2011-10, Vol.54 (7), p.1665-1670

2011

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Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM

Applied mathematics and computation, 2008-12, Vol.206 (2), p.952-967

2008

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Study of posterolateral lumbar arthrodesis by means of a finite element model

Mathematical and computer modelling, 2009-09, Vol.50 (5), p.680-694

2009

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GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection

Hybrid Artificial Intelligent Systems, 2018, Vol.10870, p.62-73

2018

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A new improved study of cyanotoxins presence from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) using the MARS technique

Study of cyanotoxins presence from experimental cyanobacteria concentrations using a new data mining methodology based on multivariate adaptive regression splines in Trasona reservoir (Northern Spain)

Forecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique

Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model

PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

Battery state-of-charge estimator using the SVM technique

Applying the K-nearest neighbor technique to the classification of workers according to their risk of suffering musculoskeletal disorders

Comparison of wavelet continuous transform and signal averaged ECG for high frequency content and late potential detection in healthy individuals

QSOs sigposting cluster size halos as gravitational lenses: halo mass, projected mass density profile and concentration at z ∼0.7

Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)

Prediction of work-related accidents according to working conditions using support vector machines

Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus

Artificial neural networks applied to cancer detection in a breast screening programme

Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process

Application of neural networks to the study of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women

Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM

Study of posterolateral lumbar arthrodesis by means of a finite element model

GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection

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