Francisco Javier de Cos Juez
Orcid: 0000-0002-9660-7944
According to our database1,
Francisco Javier de Cos Juez
authored at least 67 papers
between 2008 and 2024.
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Bibliography
2024
Lunar Lithium-7 Sensing (δ7Li): Spectral Patterns and Artificial Intelligence Techniques.
Sensors, June, 2024
Lunar Surface Resource Exploration: Tracing Lithium, 7 Li and Black Ice Using Spectral Libraries and Apollo Mission Samples.
Remote. Sens., April, 2024
Axioms, February, 2024
2023
Axioms, April, 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol.
Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023
Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023
2021
Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms.
Neurocomputing, 2021
Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia.
Log. J. IGPL, 2021
2020
A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
An artificial neural network model for the prediction of bruxism by means of occlusal variables.
Neural Comput. Appl., 2020
Log. J. IGPL, 2020
Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance.
Log. J. IGPL, 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications.
Sensors, 2019
Special issue: artificial intelligence and machine learning applications in Health Sciences.
J. Exp. Theor. Artif. Intell., 2019
A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines.
J. Comput. Appl. Math., 2019
Modelling the hypnotic patient response in general anaesthesia using intelligent models.
Log. J. IGPL, 2019
Log. J. IGPL, 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
Analysis of the High-Frequency Content in Human QRS Complexes by the Continuous Wavelet Transform: An Automatized Analysis for the Prediction of Sudden Cardiac Death.
Sensors, 2018
Complex., 2018
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
Comparative Study of Neural Network Frameworks for the Next Generation of Adaptive Optics Systems.
Sensors, 2017
Sensors, 2017
J. Sensors, 2017
Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions.
J. Comput. Appl. Math., 2017
Analysis of the Temporal Structure Evolution of Physical Systems with the Self-Organising Tree Algorithm (SOTA): Application for Validating Neural Network Systems on Adaptive Optics Data before On-Sky Implementation.
Entropy, 2017
A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
An Artificial Neural Network Model for the Prediction of Bruxism by Means of Occlusal Variables.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
2016
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers.
Sensors, 2016
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks.
Proceedings of the Intelligent Systems Design and Applications, 2016
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines.
Sensors, 2015
Sensors, 2015
Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability.
Reliab. Eng. Syst. Saf., 2015
Proceedings of the International Joint Conference, 2015
2014
Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions.
Sensors, 2014
Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process.
Appl. Math. Comput., 2014
2012
Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model.
Int. J. Comput. Math., 2012
Comparison of GPS observations made in a forestry setting using functional data analysis.
Int. J. Comput. Math., 2012
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy.
Expert Syst. Appl., 2012
Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus.
Appl. Math. Comput., 2012
2011
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.
Math. Comput. Model., 2011
Int. J. Comput. Math., 2011
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS).
Expert Syst. Appl., 2011
Prediction of work-related accidents according to working conditions using support vector machines.
Appl. Math. Comput., 2011
Solvency Assessment in an Unbalanced Sample.
Proceedings of the KMIS 2011, 2011
2010
Artificial neural networks applied to cancer detection in a breast screening programme.
Math. Comput. Model., 2010
Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model.
Math. Comput. Model., 2010
2009
Math. Comput. Model., 2009
Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women.
Math. Comput. Model., 2009
A new data mining methodology applied to the modelling of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women.
Int. J. Comput. Math., 2009
2008
Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM.
Appl. Math. Comput., 2008