Mario Fernández Ruiz defends his Final Degree Project “Application of automatic detection of solar flares by e-Callisto with neural networks”.

Mario Fernández Ruiz defends his Final Degree Project “Application of automatic detection of solar flares by e-Callisto with neural networks”, the result of a collaboration between the CELESTINA project (Castillian E-Callisto Leading Experimentation in Solar-Terrestrial Interaction with Novel Antennas, https://celestina.web.uah.es) and Micro Stress-MAP, http://absys.dacya.ucm.es/. On July 23, 2021, Mario Fernández Ruiz, a student of the…

Continue reading Mario Fernández Ruiz defends his Final Degree Project “Application of automatic detection of solar flares by e-Callisto with neural networks”.

The Micro-Stress project advances thanks to the collaboration of the Josep Ressel Center for Symbolic Regression (Austria).

Weekly meetings are being held between the MESO group of the National Center for Metallurgical Research (CSIC), the Absys group of the Complutense University of Madrid and developers of the Josep Ressel Center for Symbolic Regression in Austria, in relation to the Micro-Stress-MAP project. Through the study of a stressed (tempered) sample and its unstressed…

Continue reading The Micro-Stress project advances thanks to the collaboration of the Josep Ressel Center for Symbolic Regression (Austria).

New high-capacity computing equipment funded by Micro-Stress MAP

Two new high-performance computers have been acquired to complete the equipment foreseen in the Micro-Stress-MAP-CM project. These two computers include the latest generation NVIDIA GeForce RTX 3080 graphics cards, which make it possible to develop the last stage of micro-stress modeling. The units are versatile and can be used both as notebooks and desktops, which…

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Alberto Gutiérrez Gallego has recently presented his Master’s Thesis entitled “Multi-level classifier for the identification of individuals at risk of developing overweight” within the scope of the GenObIA project.

Alberto Gutiérrez has recently presented his Master’s Thesis within the scope of the GenObIA project, this development is entitled “Multi-level classifier for the identification of individuals at risk of developing overweight”. In this work a classifier system based on artificial intelligence and machine learning techniques has been developed. The system consists of a novel multilevel…

Continue reading Alberto Gutiérrez Gallego has recently presented his Master’s Thesis entitled “Multi-level classifier for the identification of individuals at risk of developing overweight” within the scope of the GenObIA project.

Daniel Parra Rodríguez presents his Master’s Thesis entitled “Optimal variable selection by means of Evolutionary Computation for classification algorithms” within the research lines of the GenObIA project.

Daniel Parra presents his Master’s Thesis within the research lines of the GenObIA project, entitled “Optimal variable selection by Evolutionary Computation for classification algorithms. Application to the identification of individuals at risk of developing overweight”. In this work, a feature selection system has been designed for classifier systems, based on Evolutionary Computing. In particular, different…

Continue reading Daniel Parra Rodríguez presents his Master’s Thesis entitled “Optimal variable selection by means of Evolutionary Computation for classification algorithms” within the research lines of the GenObIA project.

Presentation of the Genobia-CM project by Ignacio Hidalgo at the Institute of Knowledge Technology (ITC) of the UCM.

Last April 12, 2021 Ignacio Hidalgo presented the paper Title: Project (GenObIA-CM): Design, using artificial intelligence, of predictive algorithms for the identification of individuals at risk of developing overweight/obesity and its associated pathologies: Contribution of genetic analysis. S2017/BMD-3773. The main scientific objectives of GenObIA-CM are: (i) Creation of a predictive algorithm of the risk of…

Continue reading Presentation of the Genobia-CM project by Ignacio Hidalgo at the Institute of Knowledge Technology (ITC) of the UCM.

Presentation of the HERACLES-II project by Ignacio Hidalgo at the Institute of Knowledge Technology (ITC) of the UCM.

Last April 14, 2021 Ignacio Hidalgo presented the paper Title: HERACLES-II: “Bioinspired Adaptive System for glycemic control based on smart sensors and accessories.” Abstract : Diabetes Mellitus type 1 is a chronic disease characterized by elevated blood glucose due to a defect in insulin production, which affects more than 600 thousand people in Spain alone.…

Continue reading Presentation of the HERACLES-II project by Ignacio Hidalgo at the Institute of Knowledge Technology (ITC) of the UCM.