Intelligent Drone Positioning via BIC Optimization for Maximizing LPWAN Coverage and Capacity in Suburban Amazon Environments

Autor: Flávio Henry Cunha da Silva Ferreira, Miércio Cardoso de Alcântara Neto, Fabrício José Brito Barros, Jasmine Priscyla Leite de Araújo

Publikováno v: Sensors, Vol 23, Iss 13, p 6231 (2023)

This paper aims to provide a metaheuristic approach to drone array optimization applied to coverage area maximization of wireless communication systems, with unmanned aerial vehicle (UAV) base stations, in the context of suburban, lightly to densely

Externí odkaz: https://doaj.org/article/bf01ab0bfadd41e18cdf53764f39a98f

Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users’ Temporal and Spatial Flow

Autor: Rodrigo Dias Alfaia, Anderson Vinicius de Freitas Souto, Evelin Helena Silva Cardoso, Jasmine Priscyla Leite de Araújo, Carlos Renato Lisboa Francês

Publikováno v: Drones, Vol 6, Iss 6, p 145 (2022)

The rapid growth of data traffic due to the demands of new services and applications poses new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution to support wireless networks during congestion, especially in scenari

Externí odkaz: https://doaj.org/article/6e40d35e7e44417d884c5dd7fada6aed

Intelligent Drone Positioning via BIC Optimization for Maximizing LPWAN Coverage and Capacity in Suburban Amazon Environments

Autor: Araújo, Flávio Henry Cunha da Silva Ferreira, Miércio Cardoso de Alcântara Neto, Fabrício José Brito Barros, Jasmine Priscyla Leite de

Publikováno v: Sensors; Volume 23; Issue 13; Pages: 6231

This paper aims to provide a metaheuristic approach to drone array optimization applied to coverage area maximization of wireless communication systems, with unmanned aerial vehicle (UAV) base stations, in the context of suburban, lightly to densely

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::948a053a8c4d285cd69e1444297b4d4f

Tri-Band, Stable and Compact Patch Frequency Selective Surface Optimized via Hybrid Bioinspired Computing for Applications at 2.4, 3.5 and 5.8 GHz

Autor: Ianes Barbosa Grecia Coutinho, Miércio Cardoso de Alcântara Neto, Alfredo Gomes Neto, Gervásio P. S. Cavalcante, Fabrício José Brito Barros, Flávio H. C. S. Ferreira, Jasmine Priscyla Leite de Araújo

Publikováno v: Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 20, Iss 3, Pp 570-584 (2021)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Volume: 20, Issue: 3, Pages: 570-584, Published: 29 SEP 2021
Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.20 n.3 2021
Journal of Microwaves. Optoelectronics and Electromagnetic Applications
Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
instacron:SBMO

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 search algor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07560f4c3971cfacd90f1d142a3dd707
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742021000300570&tlng=en

Avaliação da Qualidade Ambiental de um Ambiente de Smart Home Utilizando Internet of Things e Inteligência Artificial

Autor: Laciene Alves Melo, Felipe Reis, Leonardo Nunes Gonçalves, Haelton Carvalho, Jasmine Priscyla Leite de Araujo, Fabrício Brito, Fabrício Farias

Publikováno v: Anais do XIII Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA 2022).

Este artigo tem como propósito construir uma solução baseada em inteligência artificial (IA) para classificação de um ambiente de smart home, considerando o monitoramento de parâmetros ambientais. Para isso, foi proposto a implantação de uma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b7f1c711686d5eba6999cdedeae227d
https://doi.org/10.5753/wcama.2022.223372