Clustering algorithms are one of the most widely used kernels to generate knowledge from large datasets. These algorithms group a set of data elements (i.e., images, points, patterns, etc.) into clusters to identify patterns or common features of a sample. However, these algorithms are very computationally expensive as they often involve the computation of expensive

La presencia de contaminantes emergentes en aguas es cada vez mayor. Especialmente preocupan los antibióticos, debido a que pueden dar lugar a la aparición de bacterias resistentes, pero también a que dichos antibióticos pueden afectar negativamente a los ecosistemas y a los organismos que los habitan. Los antibióticos empleados para el consumo humano terminan llegando

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

Estamos de suerte, al final nos han aceptado el artículo que llevamos meses en revisión. Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain Abstract:Air-pollution is one of the main threats for developed societies. According to the World Health Organization (WHO), pollution is the main cause of deaths