Descripción
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Machine learning methods are applyed to interpret dam monitoring data in order to detect anomalies, as an information for decision making when analysing the safety of a dam. These techniques are applyed to the case study of an arch dam. | |
Internacional
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No |
ISBN
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Tipo de Tesis
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Doctoral |
Calificación
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Sobresaliente cum laude |
Fecha
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23/02/2017 |