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Combination of geostatistical simulation and fractal modeling for mineral resource classification
(Elsevier, 2015)
The separation, identification and assessment of high-grade ore zones fromlow-grade ones are extremely important
in mining of metalliferous deposits. A technique that provides reliable results for those purposes is thus ...
Semi-automatic modeling of buildings from digital surface models
(2004-07-01)
Semi-automatic building detection and extraction is a topic of growing interest due to its potential application in such areas as cadastral information systems, cartographic revision, and GIS. One of the existing strategies ...
Semi-automatic modeling of buildings from digital surface models
(2004-07-01)
Semi-automatic building detection and extraction is a topic of growing interest due to its potential application in such areas as cadastral information systems, cartographic revision, and GIS. One of the existing strategies ...
Genetic algorithm model to control peak demand to defer capacity investment
(IEEE, 2012)
This paper formulates and develops a peak demand control tool for electric systems within the framework of direct load control plans. This tool allows defining a load dispatch centre for central air conditioning systems ...
Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step
(American Chemical Society, 2021-07-06)
In process engineering, two paradigms of modeling approaches exist: the mechanistic and the data-driven approaches with the former being completely based on knowledge while the latter completely based on data. In our ...
Computer graphics applied to anatomy: a study of two bio-cad modeling methods on finite element analysis of human edentulous hemi-mandible
(Soc Chilena Anatomia, 2014-09-01)
Modeling is a step to perform a finite element analysis. Different methods of model construction are reported in literature, as the Bio-CAD modeling. The purpose of this study was to perform a model evaluation and application ...
Using a dynamic forest model to predict tree species distributions
(WILEY-BLACKWELL, 2016)
Aim It has been suggested that predicting species distributions requires a processbased
and preferably dynamic approach. If dynamic models are to contribute
towards understanding species distributions, uncertainties ...
Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2011-01-27)
We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We ...