Daniel
Rivero Cebrián
Profesor Titular de Universidad
Universidad Tecnica de Machala
Machala, EcuadorPublicaciones en colaboración con investigadores/as de Universidad Tecnica de Machala (6)
2021
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Detection of bovine mastitis in raw milk, using a low-cost nir spectrometer and k-nn algorithm
Applied Sciences (Switzerland), Vol. 11, Núm. 22
2020
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Classical music prediction and composition by means of variational autoencoders
Applied Sciences (Switzerland), Vol. 10, Núm. 9
2018
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Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques
Computers and Electronics in Agriculture, Vol. 145, pp. 1-10
2017
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Automated early detection of drops in commercial egg production using neural networks
British Poultry Science, Vol. 58, Núm. 6, pp. 739-747
2016
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Early warning in egg production curves from commercial hens: A SVM approach
Computers and Electronics in Agriculture, Vol. 121, pp. 169-179
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Optimization of NIR calibration models for multiple processes in the sugar industry
Chemometrics and Intelligent Laboratory Systems, Vol. 159, pp. 45-57