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Computation of the improvement directions of the Pareto front and its applica...
This paper introduces the mathematical development and algorithm of the Improvement-Directions Mapping (IDM) method, which computes improvement directions to "push" the current... -
The improvement direction mapping method
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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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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... -
Evaluación comparativa de algoritmos de predicción aplicados al conteo de hom...
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A Broyden-based algorithm for multi-objective local-search optimization
Este producto no tiene una descripción
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Estimación de datos faltantes de temperatura combinando IDW y una serie trunc...
Este producto 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... -
Mechanism Design Optimization of a Portable Scanner for Measuring Atmosphere ...
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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... -
The directed multi-objective estimation distribution algorithm (D-MOEDA)
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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,... -
Renewable Energy Potential Estimation in Northern Mexico Using GIS
The transition to renewable energy is crucial for addressing pollution and greenhouse gas emissions from activities like electricity generation and transportation. However, the... -
Multivariate Forecasting of Homicide Count for the Metropolitan Zone of Guada...
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