Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Miercio C. A. Neto"'
Autor:
Wirlan G. Lima, Andreia V. R. Lopes, Caio M. M. Cardoso, Jasmine P. L. Araújo, Miércio C. A. Neto, Maria E. L. Tostes, Andréia A. Nascimento, Mauricio Rodriguez, Fabrício J. B. Barros
Publikováno v:
Sensors, Vol 24, Iss 5, p 1621 (2024)
Designing and deploying telecommunications and broadcasting networks in the challenging terrain of the Amazon region pose significant obstacles due to its unique morphological characteristics. Within low-power wide-area networks (LPWANs), this resear
Externí odkaz:
https://doaj.org/article/b089401e66744ea1be7413887c05768a
Autor:
Hugo A. O. Cruz, Sidnir C. B. Ferreira, Jasmine P. L. Araújo, Fabrício J. B. Barros, Fabrício S. Farias, Miércio C. A. Neto, Maria E. L. Tostes, Andréia A. Nascimento, Gervásio P. S. Cavalcante
Publikováno v:
Sensors, Vol 22, Iss 17, p 6492 (2022)
The Internet of Things (IoT) device scenario has several emerging technologies. Among them, Low-Power Wide-Area Networks (LPWANs) have proven to be efficient connections for smart devices. These devices communicate through gateways that exchange poin
Externí odkaz:
https://doaj.org/article/5e26a2a207974f6fb4905df71af32575
Autor:
Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante
Publikováno v:
IEEE Access, Vol 8, Pp 146395-146407 (2020)
This work presents and evaluates the use of geometric parameters of the environment in the prediction of the electric field in mixed city-river type environments, employing two techniques of Machine Learning (ML) as Artificial Neural Networks (ANN) a
Externí odkaz:
https://doaj.org/article/863ae28e8c1c47739e99ba05118f85a3
Autor:
Miércio C. A. Neto, Jasmine P. L. Araújo, Raimundo J. S. Mota, Fabrício J. B. Barros, Flávio H. C. S. Ferreira, Gervásio P. S. Cavalcante, Bruno S. L. Castro
Publikováno v:
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 18, Iss 4, Pp 530-544 (2019)
Abstract In this work is presented a hybrid bioinspired optimization technique that associates a General Regression Neural Network (GRNN) with the Multiobjective Bat Algorithm (MOBA), for the design and synthesis of the Frequency Selective Surfaces (
Externí odkaz:
https://doaj.org/article/6b9e3008f57d47649f439b6f0f8a28e7