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Automated early detection of drops in commercial egg production using neural networks
ArticleAbstract: 1. The purpose of this work was to support decision-making in poultry farms by performing automaticPalabras claves:Farming systems, Laying hens, Machine learning, modelling, production dropsAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Rivero D., Sierra A.P.Fuentes:googlescopusAutomatic classification of water samples using an optimized svm model applied to cyclic voltammetry signals
ArticleAbstract: Background: concern about the quality of the water for human consumption has become widespread amongPalabras claves:authenticity, Electronic tongue, Machine learning, Voltammetry, water qualityAutores:Cinthia Romero Flores, Hugo Romero Bonilla, Ivan Ramirez-MoralesFuentes:scopusDetection of bovine mastitis in raw milk, using a low-cost nir spectrometer and k-nn algorithm
ArticleAbstract: Among the bovine diseases, mastitis causes high economic losses in the dairy production system. NowaPalabras claves:CALIFORNIA MASTITIS TEST, Dairy, Health monitoring, Machine learning, Near infrared reflected spectraAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Jhonny E. Pérez, Lenin Aguilar, Rivero D., Sierra A.P.Fuentes:scopusEarly warning in egg production curves from commercial hens: A SVM approach
ArticleAbstract: Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwrittPalabras claves:Drop in egg production, Early warning, Machine learning, Poultry management, SUPPORT VECTOR MACHINESAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Rivero D., Sierra A.P.Fuentes:googlescopusOptimization of NIR calibration models for multiple processes in the sugar industry
ArticleAbstract: The measurements of Near-Infrared (NIR) Spectroscopy, combined with data analysis techniques, are wiPalabras claves:Agro-industry, Calibration models, Chemometrics, Machine learning, NIR, SUPPORT VECTOR MACHINESAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Rivero D., Sierra A.P.Fuentes:googlescopusMammogram classification schemes by using convolutional neural networks
Conference ObjectAbstract: This work presents the comparison of two schemes of mammogram classification based on convolutionalPalabras claves:Breast Cancer, Convolutional neural network, Machine learning, Mammography, TensorFlowAutores:Carlos Aguilar, Danny Soriano, Eduardo Tusa, Ivan Ramirez-Morales, Maritza Pinta, Wilmer Rivas AsanzaFuentes:googlescopus