Posts by Jesús Soto:
Developing an intelligent system for the prediction of soil properties with a portable mid-infrared instrument
Ya está disponible nuestro nueva publicación.
Developing an intelligent system for the prediction of soil properties with a portable mid-infrared instrument.
Highlights
- •Different machine learning techniques have been tested to predict soil properties.
- •The predicted soil properties are TC, TN, CEC, clay, silt and Na+.
- •The best predictive machine learning technique has been the Gaussian Process.
- •The Gaussian process is better compared to the traditional PLSR technique.
- •The Gaussian Process is the candidate for the development of intelligent system.
High-Throughput Infrastructure for Advanced ITS Services
Hoy nos han comunicado la publicación de un nuevo artículo, con el que llevábamos trabajando desde el año pasado. High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring. Abstract: Novel cooperative intelligent transportation systems (ITS) serve as the basis for the provision of a number of services for drivers, occupants, and […]
A novel fuzzy clustering approach to regionalise watersheds
Otra artículo que nos publican: A novel fuzzy clustering approach to regionalise watersheds with an automatic determination of optimal number of clusters. Una nueva aplicación de los algoritmos de clasificación difusa. Abstract One of the most important problems faced in hydrology is the estimation of flood magnitudes and frequencies in ungauged basins. Hydrological regionalisation is […]
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 […]
Big Data con MATLAB
MATLAB ofrece un entorno único para trabajar con big data conviertiendo el análisis y el proceso de big data en fácil, coveniente y escalable.
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 […]
Using SWAT and Fuzzy TOPSIS
Publicación del artículo: Using SWAT and Fuzzy TOPSIS to Assess the Impact of Climate Change in the Headwaters of the Segura River Basin (SE Spain)
El problema de los acentos en Kubuntu
El incordio de la falta de acentos en Kubutu
Parallel implementation of fuzzy minimals clustering algorithm
Publicacion de nuestro artículo Parallel implementation of fuzzy minimals clustering algorithm en Expert Systems with Applications.
No entres dócilmente…
Hace unos días he vuelto a ver Interstellar (2014). Sigo considerándola una bella historia de amor. Una de las cosas que he vuelto a disfrutar viéndola es su maravillosa música. Hans Zimmer vuelve a conmovernos con este poema musical que se adapta con armonía a las imágenes. Junto a la música aparece un poema sencillo […]
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