Listar por autor "Fernández-Blanco, Enrique"
Mostrando ítems 21-37 de 37
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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 ... -
Example-Based Learning: Development of Business Applications witn .Net Technologies
Gestal, M.; Vázquez-Naya, José; Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)[Abstract] For a long time, J2EE has been the dominating framework for the development of business applications. This fact resulted in a rich ecosystem of tools, manuals, tutorials, etc. that explain different implementation ... -
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs
Bermejo, Enrique; Fernández-Blanco, Enrique; Valsecchi, Andrea; Mesejo, Pablo; Ibáñez, Oscar; Imaizumi, Kazuhiko (Elsevier, 2022)[Abstract]: Facial biometrics play an essential role in the fields of law enforcement and forensic sciences. When comparing facial traits for human identification in photographs or videos, the analysis must account for ... -
Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection
Fernández-Lozano, Carlos; Fernández-Blanco, Enrique; Dave, Kirtan; Pedreira Souto, Nieves; Gestal, M.; Dorado, Julián; Munteanu, Cristian-Robert (Royal Society of Chemistry, 2014-01-14)[Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ... -
Introducing a Human Activity Recognition Dataset Gathered on Real-Life Conditions
García-González, Daniel; Fernández-Blanco, Enrique; Rivero, Daniel; Rodríguez Luaces, Miguel (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Human activity recognition (HAR) has garnered significant scientific interest in recent years. The widespread use of smartphones enabled convenient and cost-effective data collection, eliminating the need for ... -
Machine Learning in Management of Precautionary Closures Caused by Lipophilic Biotoxins
Molares-Ulloa, Andrés; Fernández-Blanco, Enrique; Pazos, A.; Rivero, Daniel (Elsevier, 2022)[Abstract] Mussel farming is one of the most important aquaculture industries. The main risk to mussel farming is harmful algal blooms (HABs), which pose a risk to human consumption. In Galicia, the Spanish main producer ... -
Modelado de un sistema celular artificial para generación de formas y procesado de información
Fernández-Blanco, Enrique (2010)[Resumen] En el ámbito de la informática se han modelado distintos procesos naturales para adaptar sus fundamentos en la resolución de problemas. En los últimos años algunos investigadores han centrado su atención en el ... -
New machine learning approaches for real-life human activity recognition using smartphone sensor-based data
García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (Elsevier B.V., 2023)[Abstract]: In recent years, mainly due to the application of smartphones in this area, research in human activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide range of sensors, its size, ... -
Optimization of NIR Calibration Models for Multiple Processes in the Sugar Industry
Ramírez-Morales, Iván; Rivero, Daniel; Fernández-Blanco, Enrique; Pazos, A. (Elsevier, 2016-10-14)[Abstract] The measurements of Near-Infrared (NIR) Spectroscopy, combined with data analysis techniques, are widely used for quality control in food production processes. This paper presents a methodology to optimize ... -
Population Subset Selection for the Use of a Validation Dataset for Overfitting Control in Genetic Programming
Rivero, Daniel; Fernández-Blanco, Enrique; Fernández-Lozano, Carlos; Pazos, A. (Taylor & Francis Group, 2019-07-31)[Abstract] Genetic Programming (GP) is a technique which is able to solve different problems through the evolution of mathematical expressions. However, in order to be applied, its tendency to overfit the data is one of ... -
Prediction of Nucleoitide Binding Peptides Using Star Graph Topological Índices
Liu, Yong; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique; Tan, Zhiliang; Santos-del-Riego, Antonino; Pazos, A. (Elsevier, 2015-08-05)[Abstract] The nucleotide binding proteins are involved in many important cellular processes, such as transmission of genetic information or energy transfer and storage. Therefore, the screening of new peptides for this ... -
Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments
Puente-Castro, Alejandro; Rivero, Daniel; Pedrosa, Eurico; Pereira, Artur; Lau, Nuno; Fernández-Blanco, Enrique (Elsevier, 2023)[Abstract]: Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise due to the numerous advantages they bring. There are increasingly more scenarios where autonomous control ... -
Random Forest Classification Based on Star Graph Topological Indices for Antioxidant Proteins
Fernández-Blanco, Enrique; Aguiar-Pulido, Vanessa; Munteanu, Cristian-Robert; Dorado, Julián (Elsevier, 2012-10-29)[Abstract] Aging and life quality is an important research topic nowadays in areas such as life sciences, chemistry, pharmacology, etc. People live longer, and, thus, they want to spend that extra time with a better quality ... -
System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
Puente-Castro, Alejandro; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique (M D P I AG, 2019-08-21)[Abstract] Automatic detection of Alzheimer’s disease is a very active area of research. This is due to its usefulness in starting the protocol to stop the inevitable progression of this neurodegenerative disease. This ... -
UAV Swarm Path Planning With Reinforcement Learning for Field Prospecting
Puente-Castro, Alejandro; Rivero, Daniel; Pazos, A.; Fernández-Blanco, Enrique (Springer, 2022-03-03)[Abstract] There has been steady growth in the adoption of Unmanned Aerial Vehicle (UAV) swarms by operators due to their time and cost benefits. However, this kind of system faces an important problem, which is the ... -
Using Genetic Algorithms for Automatic Recurrent ANN Development: an Application to EEG Signal Classification
Rivero, Daniel; Aguiar-Pulido, Vanessa; Fernández-Blanco, Enrique; Gestal, M. (Inderscience, 2013)[Abstract] ANNs are one of the most successful learning systems. For this reason, many techniques have been published that allow the obtaining of feed-forward networks. However, fe w ... -
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 ...