Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Gervasio P. S. Cavalcante"'
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:
Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Herminio S. Gomes, Vinicius D. Lima, Gervasio P. S. Cavalcante
Publikováno v:
International Journal of Antennas and Propagation, Vol 2020 (2020)
This study sets out an empirical hybrid autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) model designed to estimate electromagnetic wave propagation in densely forested urban areas. Received signal power intensity
Externí odkaz:
https://doaj.org/article/7c8e830960f448b1956e635ca5e69747
Autor:
Iury da S. Batalha, Andreia Vanessa Rodrigues Lopes, Wirlan Gomes Lima, Yuri H. S. Barbosa, Miercio Cardoso De Alcantara Neto, Fabricio J. B. Barros, Gervasio P. S. Cavalcante
Publikováno v:
IEEE Internet of Things Journal. 9:24477-24491
Autor:
Ramz L. Fraiha Lopes, Igor R. Gomes, Cristiane R. Gomes, Herminio S. Gomes, Gervásio P. S. Cavalcante
Publikováno v:
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 20, Iss 4, Pp 870-882 (2021)
Abstract This work presents improvements to a telecommunication service planning tool for optimal positioning of base stations presented in a previous work. The tool uses a propagation loss model based on the K-Nearest Neighborhoods classifier since
Externí odkaz:
https://doaj.org/article/950d115c3d65487c856790e9f3d7d11a
Autor:
Flávio H. C. S. Ferreira, Jasmine P. L. Araújo, Alfredo Gomes Neto, Ianes B. G. Coutinho, Fabrício J. B. Barros, Gervásio P. S. Cavalcante, Miércio C. de Alcântara Neto
Publikováno v:
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 20, Iss 3, Pp 570-584 (2021)
Abstract This work addresses the synthesis of a multi-band frequency selective surface (FSS) through bioinspired computing and a general regression neural network (GRNN). This hybrid computational method, which utilizes the multi-objective cuckoo sea
Externí odkaz:
https://doaj.org/article/93f6bf679abf4e01bc0d06c9527726e5
Autor:
Cristiane R. Gomes, Igor R. Gomes, Ramz L. Fraiha Lopes, Herminio S. Gomes, Gervásio P. S. Cavalcante
Publikováno v:
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 19, Iss 4, Pp 428-443 (2020)
Abstract A good wireless network design depends on technical and financial viability and a number of other criteria that must be met. Following the emergence of new technologies and services, such as 5G transmission and the reuse of frequencies, new
Externí odkaz:
https://doaj.org/article/e24e7b18182e4292a519e2a8b43228c8
Autor:
Miércio C. de Alcântara Neto, Gervásio P. S. Cavalcante, Rodrigo M. S. de Oliveira, Fábio F. Ribeiro, Flávio H. C. S. Ferreira, Fabrício J. B. Barros, José F. S. de Almeida
Publikováno v:
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 19, Iss 3, Pp 366-378 (2020)
Abstract In this work, a compact ultra-wide-band microstrip antenna loaded with C-shaped parasitic elements, for Digital Video Broadcasting - Terrestrial (DVB-T) and LTE 450 / 700 signal reception, is designed and presented. The proposed antenna is n
Externí odkaz:
https://doaj.org/article/6fa541dbd7d84784a38bb00c774e0c55
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
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:
Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Vinicius D. Lima, Herminio S. Gomes, Gervásio P. S. Cavalcante
Publikováno v:
International Journal of Antennas and Propagation, Vol 2020 (2020)
This study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. The work was ca
Externí odkaz:
https://doaj.org/article/ad93cf9e14694086a9b6499ebcffc547