Construcción e Ingeniería de Fabricación
Departamento
FERNANDO
SANCHEZ LASHERAS
Profesor Titular de Universidad
Publicaciones en las que colabora con FERNANDO SANCHEZ LASHERAS (17)
2023
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A support vector regression model for time series forecasting of the COMEX copper spot price
Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 775-784
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Method for the Detection of Functional Outliers Applied to Quality Monitoring Samples in the Vicinity of El Musel Seaport in the Metropolitan Area of Gijón (Northern Spain)
Mathematics, Vol. 11, Núm. 12
2022
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Update and preliminary performance analysis of the New Robotic Telescope structure
Proceedings of SPIE - The International Society for Optical Engineering
2021
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A Methodology for Early Detection of Potentially Low-Achievement Students by Means of On-Line Testing and Item Response Theory
Manufacturing Engineering Society International Conference, MESIC 9: Gijόn, 2021, Spain, June 23-24-25
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A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines
Advances in Intelligent Systems and Computing
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Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression
Advances in Intelligent Systems and Computing
2020
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A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology
Mathematics, Vol. 8, Núm. 6
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Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model
IJIMAI, Vol. 6, Núm. 4, pp. 39-48
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Predicting benzene concentration using machine learning and time series algorithms
Mathematics, Vol. 8, Núm. 12, pp. 1-21
2019
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Does the transversal screw design increase the risk of mechanical complications in dental implants? A finite elements analysis
International Journal for Numerical Methods in Biomedical Engineering, Vol. 35, Núm. 6
2017
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Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions
Journal of Computational and Applied Mathematics, Vol. 311, pp. 704-717
2015
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A statistical approach to prediction of the CMM drift behaviour using a calibrated mechanical artefact
Metrology and Measurement Systems, Vol. 22, Núm. 3, pp. 417-428
2013
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A Wiki collaborative application for teaching in manufacturing engineering
Materials Science Forum
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Forecasting SO2 pollution incidents by means of Elman artificial neural networks and ARIMA models
Abstract and Applied Analysis, Vol. 2013
2012
2010
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The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process
Mathematical and Computer Modelling, Vol. 52, Núm. 7-8, pp. 1169-1176