Listar GI-RNASA - Congresos, conferencias, etc. por autor "Rivero, Daniel"
Mostrando ítems 1-7 de 7
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Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia
Molares-Ulloa, Andrés; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI AG, 2020-08-19)[Abstract] This study seeks to support, through the use of Artificial Neural Networks (ANN), the decision to perform closings after days without sampling in the Vigo estuary. The opening and closing of the mussel production ... -
Approach of Genetic Algorithms With Grouping Into Species Optimized With Predator-Prey Method for Solving Multimodal Problems
Seoane, Pablo; Gestal, M.; Dorado, Julián; Rabuñal, Juan R.; Rivero, Daniel (Springer, 2012)[Abstract] Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach ... -
Artificial cells for information processing: iris classification
Fernández-Blanco, Enrique; Dorado, Julián; Serantes, José Andrés; Rivero, Daniel; Rabuñal, Juan R. (Springer, 2011-06-01)[Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene ... -
Detection of Chocolate Properties Using Near-Infrared Spectrophotometry †
Galdo, Brais; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI, 2021)[Abstract] Knowing the chemical composition of a substance provides valuable information about it. That is why numerous techniques have been developed to try to obtain it. One of them is the Near Infrared Spectrometry ... -
Development of a Server for the Implementation of Data Processing Pipelines and ANN Training
Galdo, Brais; Rivero, Daniel (MDPI, 2021)[Abstract] Data processing and the use of machine learning techniques make it possible to solve a wide variety of problems. The great disadvantage of using this type of technology is the enormous amount of computation ... -
Estimation of the Alcoholic Degree in Beers through Near Infrared Spectrometry Using Machine Learning
Galdo, Brais; Rivero, Daniel; Fernández-Blanco, Enrique (M D P I AG, 2019-08-13)[Abstract] It is a fact that, non-destructive measurement technologies have gain a lot of attention over the years. Among those technologies, NIR technology is the one which allows the analysis of electromagnetic spectrum ... -
Using Reinforcement Learning in the Path Planning of Swarms of UAVs for the Photographic Capture of Terrains
Puente-Castro, Alejandro; Rivero, Daniel; Pazos, A.; Fernández-Blanco, Enrique (MDPI, 2021)[Abstract] The number of applications using unmanned aerial vehicles (UAVs) is increasing. The use of UAVs in swarms makes many operators see more advantages than the individual use of UAVs, thus reducing operational time ...