Zobrazeno 1 - 10
of 49
pro vyhledávání: '"M.V. Lamar"'
Publikováno v:
IEEE Latin America Transactions. 19:481-489
Driving a mobile robot consists in moving the robot to its goal position quickly, without colliding with obstacles, and with no deviations from the planned path. This process requires a skilled pilot, with expertise and well trained. Among the variou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ac245a6558020218c5e22741e6983e
https://doi.org/10.1109/tla.2021.9447698
https://doi.org/10.1109/tla.2021.9447698
Publikováno v:
WiMob
Static spectrum allocation policies allied with the increasing demand for higher data rates stimulated the pursuit of alternative spectrum allocation strategies. In this context, opportunistic Spectrum Access (OSA) has been considered an alternative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f010bd1a3f6182e693756745881a67
https://doi.org/10.1109/wimob50308.2020.9253397
https://doi.org/10.1109/wimob50308.2020.9253397
Autor:
Mariana R. Makiuchi, Marcos F. Caetano, Priscila Solis Barreto, Jacir Luiz Bordim, M.V. Lamar, Silas S. Fernandes
Publikováno v:
ISWCS
One of the major challenges in opportunistic networks is the correct identification of transmission opportunities. In this work, a new cognitive MAC protocol, called Makiuchi is proposed. The Makiuchi is builtin using a recurrent neural network to mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1195bc56b1d5f4e413d52b0b0f6e867
https://doi.org/10.1109/iswcs.2019.8877272
https://doi.org/10.1109/iswcs.2019.8877272
Autor:
Priscila Solis, Heikki Karvonen, M.V. Lamar, Marcos F. Caetano, Gabriel de Deus Ferreira, Johanna Vartiainen, Eduardo Alchieri
Publikováno v:
Anais Estendidos do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC Estendido 2019).
O crescimento exponencial de dispositivos sem fio conectados à internet e a limitação do espectro electromagnético disponível requer a otimização do escalonamento de recursos e reuso de frequências para prover uma melhor qualidade de serviço
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc3d14027eb8691ff626ea0ad1b707c7
https://doi.org/10.5753/sbrc_estendido.2019.7766
https://doi.org/10.5753/sbrc_estendido.2019.7766
Publikováno v:
IJCNN
One of the major challenges in opportunistic networks is the correct identification of a transmission opportunity and its corresponding duration. In this work, a new adaptive model for opportunity forecast is proposed. The system is based on in-chann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::add435b3f753fcacbf21b9f8523dcebd
https://doi.org/10.1109/ijcnn.2018.8489720
https://doi.org/10.1109/ijcnn.2018.8489720
Publikováno v:
Lecture Notes in Geoinformation and Cartography ISBN: 9783319612966
Dynamics in GIscience. GIS OSTRAVA 2017
Lecture Notes in Geoinformation and Cartography
Lecture Notes in Geoinformation and Cartography-Dynamics in GIscience
Dynamics in GIscience. GIS OSTRAVA 2017
Lecture Notes in Geoinformation and Cartography
Lecture Notes in Geoinformation and Cartography-Dynamics in GIscience
In this paper, we present a genetic algorithm for path octilinear simplification. The octilinear layout, recognized worldwide in metro maps, has the special property that edge orientations are restricted to eight angles. The proposed search technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::360a34766d47c5ec8559704eed9babfc
https://doi.org/10.1007/978-3-319-61297-3_8
https://doi.org/10.1007/978-3-319-61297-3_8
Akademický článek
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Publikováno v:
MASS
One of the major challenges in opportunistic networks is the correct identification of a transmission opportunity and its corresponding duration. In this work, recurrent neural network structures are investigated for transmission opportunity forecast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e2b809466636ddc612839459e5242c9
https://doi.org/10.1109/mass.2016.063
https://doi.org/10.1109/mass.2016.063
Publikováno v:
Anais do 6. Congresso Brasileiro de Redes Neurais.
In this work we present a fast and efficient feature extraction method to be applied in visual gesture recognition systems. The method is based upon the using of Principal Component Analysis (PCA) to extract morphological information about 2D regions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d127ab07a3a9b53149b2279acae5a4e8
https://doi.org/10.21528/cbrn2003-066
https://doi.org/10.21528/cbrn2003-066
Publikováno v:
Anais do 6. Congresso Brasileiro de Redes Neurais.
A neural network structure dedicated to the time series recognition, T-CombNET, is presented. The model is developed from the large scale Neural Network CombNet-II, designed to deal with very large vocabulary for Chinese and Japanese character recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e185b93c9fe70d6e66be2b779be33ecd
https://doi.org/10.21528/cbrn2003-067
https://doi.org/10.21528/cbrn2003-067