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Robust parameter estimation of a PEMFC via optimization based on probabilisti...
Este conjunto de datos no tiene una descripción
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Parameter Calibration of the Patch Growing Algorithm for Urban Land Change Si...
Urban growth modelling is a current trend in geo-computation due to its impact on the local living environment and the quality of life. The FUTure Urban-Regional Environment... -
On the best-performed time window size for homicide count forecasting
In the last two decades, violence and homicides have been consistently increasing in Mexico; the official data shows relations to other crimes and time-dependent territorial... -
Automated dimensional synthesis of a portable sky scanner for measuring light...
Light pollution is often measured by a photometric sensor network distributed in the area of interest. However, photometric sensors usually have a narrow view angle, making... -
Mechatronic design of a planar robot using multiobjective optimization
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Evaluación comparativa de algoritmos de predicción aplicados al conteo de hom...
Este conjunto de datos no tiene una descripción
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A self-validating method via the unification of multiple models for consisten...
Mathematical models are used for simulating the electrochemical phenomena of proton-exchange-membrane (PEM) fuel cells. They differ in the scale, modeling variables, precision... -
A reaction–convection–diffusion model for PEM fuel cells
Este conjunto de datos no tiene una descripción
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A Broyden-based algorithm for multi-objective local-search optimization
Este conjunto de datos no tiene una descripción
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Estimación de datos faltantes de temperatura combinando IDW y una serie trunc...
Este conjunto de datos no tiene una descripción
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Homicide forecasting for the state of Guanajuato using LSTM and geospatial in...
In the last years, intentional homicides have increased significantly in Mexico. A proven strategy to confront the problem is applying predictive methods used to anticipate the... -
Roughness Parameter Estimation for flood numerical simulation using Different...
A methodology to estimate parameters necessary to carry out numerical simulations of flood phenomena is presented, that may be useful for detecting flood-prone areas. Geospatial... -
Consumo de agua industrial en el Bajío: un análisis por Zona Metropolitana, 2...
El análisis de las zonas metropolitanas en diversos indicadores de desempeño económico y de sustentabilidad, como la productividad y el consumo de agua a nivel industrial, es un... -
Design optimization and parameter estimation of a PEMFC using nature-inspired...
Este conjunto de datos no tiene una descripción
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Mechanism Design Optimization of a Portable Scanner for Measuring Atmosphere ...
Este conjunto de datos no tiene una descripción
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Improved training of deep convolutional networks via minimum-variance regular...
Fostered by technological and theoretical developments, deep neural networks (DNNs) have achieved great success in many applications, but their training via mini-batch... -
Feature Analysis for Urban-land Change of Morelia City Via the TOC Curve
The feature analysis for feature selection is an important step for defining the inputs of the simulation models for urban growth. The simulation models are valuable tools for... -
Parameter estimation for empirical and semi-empirical models in a direct etha...
Experimental data from a Direct Ethanol Fuel Cell (DEFC) provides a general perspective about its performance; nevertheless, it does not provide information about the cell's... -
The directed multi-objective estimation distribution algorithm (D-MOEDA)
Este conjunto de datos no tiene una descripción
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Estimation of peak flow in flood-producing rivers using numerical simulation,...
Floods produce enormous human and material losses every year. Evaluating their extent and severity, and especially simulating possible future scenarios can improve the response,...
