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scopus(4)
Big-data analytics for Arrhythmia Classification using data compression and kernel methods
Conference ObjectAbstract: Big data analytics is broadly used today in multiple research fields to discover and analyze hiddenPalabras claves:Autores:GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Lillo-Castellano J.M., Montserrat-García-De-Pablo M., Mora-Jimnez I., Moreno-González R.Fuentes:scopusFetal heart rate analysis for automatic detection of perinatal hypoxia using normalized compression distance and machine learning
ArticleAbstract: Accurate identification of Perinatal Hypoxia from visual inspection of Fetal Heart Rate (FHR) has bePalabras claves:Fetal heart rate, Heart Rate Variability, information theory, Normalized Compression Distance, Perinatal hypoxiaAutores:Barquero-Perez O., Caamaño-Fernández A.J., García-Viruete B., Goya-Esteban R., Jose Luis Rojo-Álvarez, Lillo-Castellano J.M., Martín-Caballero C., Santiago-Mozos R.Fuentes:scopusOn the early detection of perinatal hypoxia with information-theory based methods
Conference ObjectAbstract: Perinatal hypoxia is a severe condition that may harm fetus organs permanently. When the fetus brainPalabras claves:Autores:Garcia-Vizuete B., Jose Luis Rojo-Álvarez, Lillo-Castellano J.M., Martín-Caballero C., Santiago-Mozos R.Fuentes:scopusTraffic sign segmentation and classification using statistical learning methods
ArticleAbstract: Traffic signs are an essential part of any circulation system, and failure detection by the driver mPalabras claves:Chromatic and achromatic segmentations, classification, Driver support system, Fourier descriptors, Machine learning techniques, Traffic sign detectionAutores:Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Lillo-Castellano J.M., Mora-Jimnez I.Fuentes:scopus