Categoría: investigación

Influence of multivariate modeling in the prediction of soil carbon by a portable infrared sensor

Contribución Workshop Proceedings of the 13th International Conference on Intelligent Environments, Seoul, Korea, August 2017. Abstract The determination of carbon is one of the most important in soil analysis. However traditional techniques are costly and time consuming. In this manuscript we propose an alternative predictive approach based on portable mid-infrared spectroscopy data modeled by machine learning

Fuzzy clustering as rational partition method for QSAR

Las técnicas de Fuzzy Clustering podemos aplicarlas en diferentes campos. En este ejemplo tenemos una colaboración que busca mejorar los métodos QSAR, de técnicas computacionales relacionadas con el cálculo de propiedades fisicoquímicas moleculares. Abstract Various methods are used to make the partition of data sets for QSAR development and model validation. In this work we used