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Environmental monitoring stations providing high frequency data over a multiyear time frame are not common in estuaries. These systems are designed to record extended time-series at high frequency that are of great value for decision makers and the scientific community. However, the continuous acquisition of good quality data at estuaries is generally challenged by harsh environmental conditions....
River floods are a major challenge. Here we demonstrate a web-based dissemination and sharing platform that brings together the essential information on river floods under a single user interface. The system contains various types of flood-related information such as water levels, flows and rainfall, collected by geosensor networks, as well other kinds of relevant information. The platform can serve...
This paper uses time-frequency methods and neural networks for the analysis and forecasting of indoor temperature time series. In a first phase, the time series are processed by means of the Fourier transform and the empirical mode decomposition methods to unveil temporal patterns embedded in the data. In a second phase, neural networks are adopted for forecasting future values. The results obtained...
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