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Support vector regression to downscaling climate big data: an application for precipitation and temperature future projection assessment
(Springer Nature Switzerland AG 2020, 2020)
The techniques for downscaling climatic variables are essential to support tools for water resources planning and management in a climate change context in the entire world. Support vector machines (SVM) through regression ...
Models for quantifying risk and reliability metrics via metaheuristics and support vector machines
(Universidade Federal de Pernambuco, 2015)
Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques
(Pergamon-Elsevier B.V. Ltd, 2011-02-01)
Petroleum well drilling monitoring has become an important tool for detecting and preventing problems during the well drilling process. In this paper, we propose to assist the drilling process by analyzing the cutting ...
Aplicação de técnicas de Machine Learning na combinação de pesquisas eleitorais
(Universidade Federal do Rio Grande do NorteBrasilUFRNEstatística, 2018-12-05)
The Brazilian electoral polls are made, mostly, from a non-probabilistic sample plan by
quotas. Thus, there is an accumulation of uncertainties regarding the estimates obtained,
since there is no way to guarantee that ...
Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques
(Pergamon-Elsevier B.V. Ltd, 2011-02-01)
Petroleum well drilling monitoring has become an important tool for detecting and preventing problems during the well drilling process. In this paper, we propose to assist the drilling process by analyzing the cutting ...
Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression
In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...