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Area Maximizing Surfaces in Lorentzian Spaces
(Springer, 2021)
In this paper we provide new results for area maximizing compact spacelike surfaces with
boundary embedded in Lorentz-Minkowski space, as well as establish the uniqueness of the
Dirichlet problem for maximal graphs in ...
Deep learning techniques for ordinal spatial data and applications in medical imaging
(Universidad de Córdoba, UCOPress, 2024)
This thesis navigates the intersection of deep learning and ordinal regression, aiming to address the challenges inherent in ordinal tasks, particularly within medical image diagnosis. The primary contributions unfold ...
On the concept of infinitesimal position vector fields in Galilean spacetimes
(World Scientific, 2022)
We introduce two different ways to establish the concept of infinitesimal position vector field between “infinitesimally nearby” observers in a Galilean spacetime as well as show their mathematical equivalence. We also use ...
On the geometry of stationary Galilean spacetimes
(Springer, 2021)
In this work we introduce a new family of non-relativistic spacetimes: standard stationary Galilean spacetimes, which constitute the local geometric model of stationary Galilean spacetimes. We also study the geodesic ...
Use of recommendation models to provide support to dyslexic students
(Elsevier, 2024)
Dyslexia is the most widespread specific learning disorder and significantly impair different cognitive domains. This, in turn, negatively affects dyslexic students during their learning path. Therefore, specific support ...
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
(MDPI, 2024)
Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ...
Rigidity results for complete spacelike submanifolds in plane fronted waves
(Springer, 2022)
New rigidity results for complete non-compact spacelike submanifolds of arbitrary codimension in plane fronted waves are obtained. Under appropriate assumptions, we prove that a complete spacelike submanifold in these ...
Unemployment Rate Prediction Using a Hybrid Model of Recurrent Neural Networks and Genetic Algorithms
(MDPI, 2024)
Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for ...
Análisis del nivel de atención de los alumnos en clase utilizando NeuroSky’s MindWave Mobile
(UCOPress, 2018)
Este artículo describe un software en Android específico para el dispositivo NeuroSky’s MindWave Mobile, con el que poder medir el nivel de atención de los estudiantes de grado en informática durante las sesiones tradicionales ...
Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients
(2017-02-17)
In liver transplantation, matching donor and recipient is a
problem that can be solved using machine learning techniques.
In this paper we consider a liver transplant dataset
obtained from eleven Spanish hospitals, ...