Found: 11
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Hydropower production prediction using artificial neural networks: an Ecuadorian application case.
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- Neural Computing & Applications, 2022, v. 34, n. 16, p. 13253, doi. 10.1007/s00521-021-06746-5
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- Article
A Permeability–Throat Diameter Correlation for a Medium Generated with Delaunay Tessellation and Voronoi Algorithm.
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- Transport in Porous Media, 2020, v. 132, n. 1, p. 201, doi. 10.1007/s11242-020-01387-z
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- Article
Influence of Stratification and Bottom Boundary Layer on the Classical Ekman Model.
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- Journal of Marine Science & Engineering, 2022, v. 10, n. 10, p. 1388, doi. 10.3390/jmse10101388
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- Article
Transport Parameter Correlations for Digitally Created PEFC Gas Diffusion Layers by Using OpenPNM.
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- Processes, 2021, v. 9, n. 7, p. 1141, doi. 10.3390/pr9071141
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- Article
Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-23643-6
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- Article
Time Series Analysis for Predicting Hydroelectric Power Production: The Ecuador Case.
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- Sustainability (2071-1050), 2019, v. 11, n. 23, p. 6539, doi. 10.3390/su11236539
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- Article
An Alternative Methodology to Compute the Geometric Tortuosity in 2D Porous Media Using the A-Star Pathfinding Algorithm.
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- Computation, 2022, v. 10, n. 4, p. 59, doi. 10.3390/computation10040059
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- Article
Temperature-dependent Study for Hydrogen Crossover in a Polymer Electrolyte Membrane Used in a PEFC.
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- International Journal of Renewable Energy Research, 2024, v. 14, n. 1, p. 61
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- Article
Temperature control strategy for polymer electrolyte fuel cells.
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- International Journal of Energy Research, 2020, v. 44, n. 6, p. 4352, doi. 10.1002/er.5209
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- Article
Optimization Algorithms: Optimal Parameters Computation for Modeling the Polarization Curves of a PEFC Considering the Effect of the Relative Humidity.
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- Energies (19961073), 2021, v. 14, n. 18, p. 5631, doi. 10.3390/en14185631
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- Article
Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning.
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- Energy Informatics, 2024, v. 7, n. 1, p. 1, doi. 10.1186/s42162-024-00318-2
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- Article