The support of time series similarity searches might be crucial in phenology studies, in which long-term time series analysis based on the identification of similar and different phenological patterns shared by individuals ...

The support of time series similarity searches might be crucial in phenology studies, in which long-term time series analysis based on the identification of similar and different phenological patterns shared by individuals ...

Series de Tiempo son un tipo de dato ampliamente utilizado en muchos campos como ciencias, ingeniería, finanzas o industria, para la clasificación de objetos astronómicos, análisis de indicadores económicos o análisis de ...

The African plastic market seems to be utterly appealing to Company X which is operative in many areas of the world, partly also in this one. With around 1,3 billion Africans and a plastic consumption of 16kg per capita, ...

Esta tesis aplica la teoría fundamental de las relaciones internacionales para explicar las funciones de conformación de las posiciones modernas de política espacial. Estas posiciones de política exterior, a su vez, están ...

Time series has attracted much attention in recent years, with thousands of methods for diverse tasks such as classification, clustering, prediction, and anomaly detection. Among all these tasks, classification is likely ...

One of the most useful tools for distinguishing between chaotic and stochastic time series is the so-called complexity-entropy causality plane. This diagram involves two complexity measures: the Shannon entropy and the ...

Durante los últimos diez años, se han hecho esfuerzos considerables por desarrollar algoritmos para la clasificación automática de estrellas variables. Esto ha sido logrado principalmente mediante la aplicación de métodos ...

A radar-only retrieval algorithm for soil moisture mapping is applied to L-band scatterometer measurements from the Aquarius. The algorithm is based on a nonlinear relation between L-band backscatter and volumetric soil ...