Sancho
Salcedo Sanz
Catedrático/a de Universidad
José Carlos
Nieto Borge
Profesor/a Titular Universidad
Publications by the researcher in collaboration with José Carlos Nieto Borge (10)
2023
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Carrier Transport in Colloidal Quantum Dot Intermediate Band Solar Cell Materials Using Network Science
International Journal of Molecular Sciences, Vol. 24, Núm. 4
2022
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Organic Disordered Semiconductors as Networks Embedded in Space and Energy
Nanomaterials, Vol. 12, Núm. 23
2018
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Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression
Ocean Engineering, Vol. 160, pp. 33-44
2017
2016
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A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction
2016 IEEE Congress on Evolutionary Computation, CEC 2016
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Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images
Coastal Engineering, Vol. 114, pp. 233-243
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Computational intelligence in wave energy: Comprehensive review and case study
Renewable and Sustainable Energy Reviews, Vol. 58, pp. 1223-1246
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Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach
Renewable Energy, Vol. 97, pp. 380-389
2015
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A hybrid genetic algorithm-extreme learning machine approach for accurate significant wave height reconstruction
Ocean Modelling, Vol. 92, pp. 115-123
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Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface
Ocean Engineering, Vol. 101, pp. 244-253