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A weed monitoring system using UAV-imagery and the Hough transform
(2015)
Usually, crops require the use of herbicides as a useful manner of controlling the
quality and quantity of crop production. Although there are weed-free areas, the most
common approach is to broadcast herbicides entirely ...
Utilización de métodos de descomposición, algoritmos kernel y técnicas de remuestreo para clasificación ordinal
(Universidad de Córdoba, Servicio de Publicaciones, 2015)
En la actualidad, la cantidad ingente de datos disponibles ha hecho, que el tratamiento y análisis de estos se haga intratable de manera manual. Esto ha propiciado que el objetivo de usar estos datos para la construcción ...
Novel support vector machines for diverse learning paradigms
(Universidad de Córdoba, UCOPress, 2019)
Ordinal Prediction using machine learning methodologies: Applications
(Universidad de Córdoba, UCOPress, 2019)
Artificial Intelligence is part of our everyday life, not only as consumers but also in most of the productive areas since companies can optimize most of their processes with all the different tools that it can provide. ...
Use of Data Mining Techniques for the Prediction of Surface Roughness of Printed Parts in Polylactic Acid (PLA) by Fused Deposition Modeling (FDM): A Practical Application in Frame Glasses Manufacturing
(MDPI, 2020)
In the present work, ten data mining algorithms have been used to generate models capable of predicting the surface roughness of parts printed on polylactic acid (PLA) by using fused deposition modeling (FDM). The models ...
Use of the support vector machine (SVM) algorithm to predict geometrical accuracy in the manufacture of molds via single point incremental forming (SPIF) using aluminized steel sheets
(Elsevier, 2021)
In the present work, the use of the support vector machine (SVM) algorithm is proposed to generate models that allow predicting the geometrical accuracy of molds manufactured via single point incremental forming (SPIF) ...
Comprehensive comparison of several data-driven methods for Mediterranean water resources management across diferent temporal scales
(Universidad de Córdoba, UCOPress, 2021)
Since the beginning of time, there has been innovation in the knowledge and technology of water and the hydraulic systems, to achieve an efficient and upgrade management of them. In this project, as an opening hypothesis, ...
Clustering, prediction and ordinal classification of time series using machine learning techniques: applications
(Universidad de Córdoba, UCOPress, 2021)
In the last years, there has been an increase in the number of fields improving their standard processes by using machine learning (ML) techniques. The main reason for this is that the vast amount of data generated by these ...
Assessing Machine Learning Models for Gap Filling Daily Rainfall Series in a Semiarid Region of Spain
(MDPI, 2021)
The presence of missing data in hydrometeorological datasets is a common problem, usually due to sensor malfunction, deficiencies in records storage and transmission, or other recovery procedures issues. These missing ...
SDM-CropProj – A model-assisted framework to forecast crop environmental suitability and fruit production
(Elsevier, 2021)
The effects of climate change (CC) will impact species ranges, and crops are no exception. Anticipating these changes through forecasting the environmentally suitable area of crops would help to reduce or mitigate the ...