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The improvement direction mapping method
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A two-stage mono-and multi-objective method for the optimization of general U...
This paper introduces a two-stage method based on bio-inspired algorithms for the design optimization of a class of general Stewart platforms. The first stage performs a... -
Impact of the COVID-19 lockdown on air quality and resulting public health be...
Meteorology and long-term trends in air pollutant concentrations may obscure the results from short-term policies implemented to improve air quality. This study presents changes... -
Efficient training of deep learning models through improved adaptive sampling
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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...
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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...
