Roberto Fernandez Martinez

University of the Basque Country (UPV/EHU)
ORCID:

[Roberto Fernandez Martinez @rfernandUPVEHU]

Day-ahead PV energy generation forecasting using neural networks: Comparison of history-only and forecast-driven information impact
https://t.co/pwGgohkjCE

[Roberto Fernandez Martinez @rfernandUPVEHU]

Control of the deformations generated during the manufacturing process of metal slitter circular knives
https://t.co/4tX4HkOrEz

[Roberto Fernandez Martinez @rfernandUPVEHU]

Improvement of transmission line ampacity utilization via machine learning-based dynamic line rating prediction
https://t.co/BqQpbtFcTx

[Roberto Fernandez Martinez @rfernandUPVEHU]

Prediction of Head Related Transfer Functions Using Machine Learning Approaches
https://t.co/PMN1sKxCsh

[Roberto Fernandez Martinez @rfernandUPVEHU]

The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes
https://t.co/GiWUwBfEag

[Roberto Fernandez Martinez @rfernandUPVEHU]

Overhead line ampacity forecasting with a focus on safety
https://t.co/wyZ5TkG7j4

[Roberto Fernandez Martinez @rfernandUPVEHU]

New chromium steel grade for creep applications
https://t.co/NZCELIVwFl

[Roberto Fernandez Martinez @rfernandUPVEHU]

Novel creep steel developed through innovative composition and thermal treatment
https://t.co/Iffd0dBEO1

[Roberto Fernandez Martinez @rfernandUPVEHU]

Overhead line ampacity forecasting and a methodology for assessing risk and line capacity utilization
https://t.co/wba3SyZoot

[Roberto Fernandez Martinez @rfernandUPVEHU]

Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL
https://t.co/RENXqwqH68

[Roberto Fernandez Martinez @rfernandUPVEHU]

Quantitative electron tomography of polylactic acid/clay nanocomposites for better comprehension of processing-microstructure-elastic modulus
https://t.co/5sMWXfgMpK

[Roberto Fernandez Martinez @rfernandUPVEHU]

Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent
https://t.co/mWTV8mzEa0

[Roberto Fernandez Martinez @rfernandUPVEHU]

Influence of Cryogenic Treatment on Wear Resistance and Microstructure of AISI A8 Tool Steel
https://t.co/gYTfUnoQRE

[Roberto Fernandez Martinez @rfernandUPVEHU]

Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines
https://t.co/6gHLlTCHYE

[Roberto Fernandez Martinez @rfernandUPVEHU]

Optimizing presetting attributes by softcomputing techniques to improve tapered roller bearings working conditions
https://t.co/244SiCPqWb

[Roberto Fernandez Martinez @rfernandUPVEHU]

Using Genetic Algorithms with Multi-Objective Optimization to Adjust Finite Element Models of Welded Joints
https://t.co/rgfWETLk2f

[Roberto Fernandez Martinez @rfernandUPVEHU]

Semi-automated quantification of the microstructure of PLA/clay nanocomposites to improve the prediction of the elastic modulus
https://t.co/kZCz2jshvL

[Roberto Fernandez Martinez @rfernandUPVEHU]

Using the finite element method and data mining techniques as an alternative method to determine the maximum load capacity in tapered roller bearings
https://t.co/XAz0w46666

[Roberto Fernandez Martinez @rfernandUPVEHU]

Carbide distribution based on automatic image analysis for cryogenically treated tool steels
https://t.co/8XDeZVGRft

[Roberto Fernandez Martinez @rfernandUPVEHU]

Methodology to classify the shape of reinforcement fillers: optimization, evaluation, comparison, and selection of models
https://t.co/pYpdEhUKAB