Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Daniel Pizarro"'
Publikováno v:
Energies, Vol 17, Iss 14, p 3578 (2024)
In recent years, there has been a growing interest in using model-free deep reinforcement learning (DRL)-based controllers as an alternative approach to improve the dynamic behavior, efficiency, and other aspects of DC–DC power electronic converter
Externí odkaz:
https://doaj.org/article/d81bd20fecfb43d78d838f95320e6a86
Autor:
Álvaro Hernández, Rubén Nieto, Laura de Diego-Otón, María Carmen Pérez-Rubio, José M. Villadangos-Carrizo, Daniel Pizarro, Jesús Ureña
Publikováno v:
Sensors, Vol 24, Iss 2, p 515 (2024)
The massive deployment of smart meters in most Western countries in recent decades has allowed the creation and development of a significant variety of applications, mainly related to efficient energy management. The information provided about energy
Externí odkaz:
https://doaj.org/article/91306c0787a647c5ae1240ad82c0faa1
Publikováno v:
IEEE Access, Vol 10, Pp 37345-37359 (2022)
Training Deep Neural Networks to solve semantic segmentation is a challenging problem with small-size labeled datasets, leading to overfitting. This is especially problematic in medical images, and in particular, in laparoscopic surgery images. In th
Externí odkaz:
https://doaj.org/article/38e2ad2bac834805996bb384847ab929
Publikováno v:
IEEE Access, Vol 9, Pp 75211-75230 (2021)
Shape-from-Template (SfT) solves the registration and 3D reconstruction of a deformable 3D object, represented by the template, from a single image. Recently, methods based on deep learning have been able to solve SfT for the wide-baseline case in re
Externí odkaz:
https://doaj.org/article/9a3a17e4a2d943e6bf4a8a6f9ab993bd
Publikováno v:
Sensors, Vol 21, Iss 19, p 6537 (2021)
The research interest on location-based services has increased during the last years ever since 3D centimetre accuracy inside intelligent environments could be confronted with. This work proposes an indoor local positioning system based on LED lighti
Externí odkaz:
https://doaj.org/article/ee44d7cf9c6b43c5a1f357c3753accfe
Autor:
Ernesto Martín-Gorostiza, Miguel A. García-Garrido, Daniel Pizarro, David Salido-Monzú, Patricia Torres
Publikováno v:
Sensors, Vol 19, Iss 11, p 2519 (2019)
A method for infrared and cameras sensor fusion, applied to indoor positioning in intelligent spaces, is proposed in this work. The fused position is obtained with a maximum likelihood estimator from infrared and camera independent observations. Spec
Externí odkaz:
https://doaj.org/article/c3a472d9b63447999fcf315df6f947e0
Publikováno v:
Sensors, Vol 12, Iss 10, Pp 13781-13812 (2012)
This paper presents a novel approach for indoor acoustic source localization using sensor arrays. The proposed solution starts by defining a generative model, designed to explain the acoustic power maps obtained by Steered Response Power (SRP) strate
Externí odkaz:
https://doaj.org/article/151b776e00ed4e41b6e739059a3ae059
Autor:
Fernando Valdés, Daniel Pizarro, Marta Marrón-Romera, Carlos Santos, Felipe Espinosa, Javier Dongil
Publikováno v:
Sensors, Vol 11, Iss 9, Pp 8339-8357 (2011)
This paper describes a relative localization system used to achieve the navigation of a convoy of robotic units in indoor environments. This positioning system is carried out fusing two sensorial sources: (a) an odometric system and (b) a laser scann
Externí odkaz:
https://doaj.org/article/a3fdb13efcb6495a9bf163a957fd72af
Publikováno v:
Sensors, Vol 18, Iss 10, p 3418 (2018)
This paper presents a novel approach for indoor acoustic source localization using microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed solution, the CNN is designed to directly estimate the three-dimensional position of
Externí odkaz:
https://doaj.org/article/58efc43346d946d5b4b1268d01ce440d
Publikováno v:
Sensors, Vol 10, Iss 10, Pp 9232-9251 (2010)
This paper presents a complete implementation of the Principal Component Analysis (PCA) algorithm in Field Programmable Gate Array (FPGA) devices applied to high rate background segmentation of images. The classical sequential execution of different
Externí odkaz:
https://doaj.org/article/8a62c9a350244b21a1d49580802ecec5