Gadea Gironés, Rafael; Rocabado-Rocha, José Luis; Fe, Jorge; Monzó Ferrer, José María(MDPI AG, 2024-01)
[EN] Artificial intelligence (AI) is one of the most promising technologies based on machine learning algorithms. In this paper, we propose a workflow for the implementation of deep neural networks. This workflow attempts ...
Guirado Carulla, Daniel(Universitat Politècnica de València, 2022-10-14)
[ES] De la complejidad de los diseños digitales en el ámbito de la guerra electrónica surge la necesidad de realizar test a dichos sistemas usando señales complejas. Para generar estas señales es necesario de equipos ...
In the optimization of artificial neural networks (ANNs) via evolutionary
algorithms and the implementation of the necessary training for the objective function,
there is often a trade-off between efficiency and flexibility. ...
[EN] The artificial intelligence (AI) application in instruments such as impedance spectroscopy highlights the difficulty to choose an electronic technology that correctly solves the basic performance problems, adaptation ...
Gadea Gironés, Rafael; Fe, Jorge; Monzó Ferrer, José María(Elsevier, 2023-04)
[EN] In the world of artificial intelligence (AI) at the edge, we need to focus primarily on the energy efficiency with which we approach deep neural network (DNN) applications. In many applications, the speed of obtaining ...