Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT

Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT

Hydrometeorological data sets are usually incomplete due to different reasons (malfunctioning sensors, collected data storage problems, etc.). Missing data do not only affect the resulting decision-making process, but also the choice of a particular analysis method. Given the increase of extreme eve...

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Bibliographic Details
Main Authors:	Antonio Madueño Luna, Miriam López Lineros, Javier Estévez Gualda, Juan Vicente Giráldez Cervera, José Miguel Madueño Luna
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Series:	Sensors
Subjects:	gap-filling river stage data cubic splines radial basis functions multilayer perceptron Arduino
Online Access:	https://www.mdpi.com/1424-8220/20/21/6354

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