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pro vyhledávání: '"68T07, 62P12"'
Autor:
Fister, Dušan, Pérez-Aracil, Jorge, Peláez-Rodríguez, César, Del Ser, Javier, Salcedo-Sanz, Sancho
In this paper three customised Artificial Intelligence (AI) frameworks, considering Deep Learning (convolutional neural networks), Machine Learning algorithms and data reduction techniques are proposed, for a problem of long-term summer air temperatu
Externí odkaz:
http://arxiv.org/abs/2209.15424
As the costs of sensors and associated IT infrastructure decreases - as exemplified by the Internet of Things - increasing volumes of observational data are becoming available for use by environmental scientists. However, as the number of available o
Externí odkaz:
http://arxiv.org/abs/2201.10544