Listar por tema "ANN"
Mostrando ítems 1-7 de 7
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Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
(Elsevier, 2020-05)[Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ... -
Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach
(Elsevier, 2020-08-15)[Abstract] Energy storage is one of the challenges of the electric sector. There are several different technologies available for facing it, from the traditional ones to the most advanced. With the current trend, it is ... -
Optimization of a nature-inspired shape for a vertical axis wind turbine through a numerical model and an artificial neural network
(MDPI, 2022-08-11)[Abstract] The present work proposes an artificial neural network (ANN) to analyze vertical axis wind turbines of the Savonius type. These turbines are appropriate for low wind velocities due to their low starting torque. ... -
Sistema híbrido inteligente para la predicción de tensión de una pila de combustible basada en hidrógeno
(Comité Español de Automática, CEA, 2019)[Resumen]: Por razones de sostenibilidad y estrategia energética, entre otras, existe en la actualidad una tendencia clara hacia el uso de nuevas formas de obtención, almacenamiento y gestión de energía, más eficientes y ... -
Sistema híbrido para la predicción del funcionamiento de una celda de combustible basada en hidrógeno, empleada en el almacenamiento de energía
(Universidade da Coruña, Servizo de Publicacións, 2019)[Resumen] En la actualidad, en gran medida debido al auge del vehículo eléctrico, los sistemas de almacenamiento energético son cada vez una necesidad mayor siendo tanto las baterías eléctricas como las pilas de combustible, ... -
System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
(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 ... -
Using Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features
(M D P I AG, 2018-09-12)[Abstract] Depression and cognitive impairment are intimately associated, especially in elderly people. However, the association between late-life depression (LLD) and mild cognitive impairment (MCI) is complex and currently ...