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ORCIDVicente A. de Sousa Jr.
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2020 – today
- 2023
[j19]Tarciana C. de Brito Guerra
, Taline Nóbrega, Edgard Morya, Allan de M. Martins, Vicente A. de Sousa Jr.:
Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery. Sensors 23(9): 4277 (2023)- [j18]Júlia da L. A. Silva, Vicente A. de Sousa Jr., Marcio E. C. Rodrigues, Fred Sizenando Rossiter Pinheiro, Gutembergue Soares da Silva, Halysson B. Mendonça, Ricardo Q. de F. H. Silva, João V. L. da Silva, Fernanda E. S. Galdino, Vitor F. C. de Carvalho, Lucas I. C. Medeiros:
Human Exposure to Non-Ionizing Radiation from Indoor Distributed Antenna System: Shopping Mall Measurement Analysis. Sensors 23(10): 4579 (2023) - [j17]Iago Diógenes do Rego, José M. de Castro Neto, Sildolfo F. G. Neto, Pedro Maia De Santana, Vicente A. de Sousa Jr., Dario Vieira, Augusto José Venâncio Neto:
A Multiarmed Bandit Approach for LTE-U/Wi-Fi Coexistence in a Multicell Scenario. Sensors 23(15): 6718 (2023) - [c12]João Paulo S. H. Lima, Álvaro Augusto M. de Medeiros, Eduardo P. de Aguiar, Edelberto F. Silva, Vicente A. de Sousa Jr., Marcelo L. Nunes, Alysson L. Reis:
Deep Learning-Based Handover Prediction for 5G and Beyond Networks. ICC 2023: 3468-3473 - [c11]Pedro V. A. Alves, Mateus A. S. S. Goldbarg, Wysterlânya K. P. Barros, Iago D. Rego, Vinícius J. M. T. Filho, Allan de M. Martins, Vicente A. de Sousa Jr., Ramon dos Reis Fontes, Eduardo Henrique da Silva Aranha, Augusto José Venâncio Neto, Marcelo A. C. Fernandes:
Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture. INNS DLIA@IJCNN 2023: 81-93 - 2022
- [j16]Deyvid L. Leite, Pablo Javier Alsina, Millena M. de Medeiros Campos, Vicente A. de Sousa Jr., Álvaro Augusto M. de Medeiros:
Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis. Sensors 22(1): 65 (2022) - [j15]Daniel L. Flor, Danilo Pena, Hyago Lucas Oliveira, Luan Pena, Vicente A. de Sousa Jr., Allan de M. Martins:
Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions. Sensors 22(5): 1946 (2022) - [j14]J. Marcos Leal Barbosa Filho, Millena M. de Medeiros Campos, Daniel L. Flor, William S. Alves, Adaildo G. D'Assunção, Marcio E. C. Rodrigues, Vicente A. de Sousa Jr.:
Non-Ionizing Radiation Measurements for Trajectography Radars. Sensors 22(18): 7017 (2022) - 2021
- [j13]Pedro Maia De Santana, Thiago A. Scher, Juliano Joao Bazzo, Álvaro Augusto M. de Medeiros, Vicente A. de Sousa Jr.:
RF-Based Machine Learning Solution for Indoor Person Detection. Int. J. Interdiscip. Telecommun. Netw. 13(2): 42-50 (2021) - [j12]Iago Diógenes do Rego, Vicente A. de Sousa Jr.:
Solution for Interference in Hotspot Scenarios Applying Q-Learning on FFR-Based ICIC Techniques. Sensors 21(23): 7899 (2021) - [j11]Yuri V. L. de Melo, Vicente A. de Sousa Jr., Tarcisio F. Maciel:
MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how. Telecommun. Syst. 76(3): 391-402 (2021) - [j10]Daniel Rodrigues de Luna, Lívio Carvalho de Sousa, Vicente A. de Sousa Jr.:
Multicarrier Systems Over Underwater Acoustic Channels: A Performance Evaluation. Wirel. Pers. Commun. 117(2): 1537-1555 (2021) - [c10]André B. de F. Diniz, Danilo de S. Pena, Vicente A. de Sousa Jr.:
A Simulation Tool for the Analysis of TDOA Methods. IPIN-WiP 2021 - 2020
- [j9]José M. de Castro Neto, Sildolfo F. G. Neto, Pedro Maia De Santana, Vicente A. de Sousa Jr.:
Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework. Sensors 20(7): 1855 (2020) - [j8]Daniel L. Flor, Danilo Pena, Luan Pena, Vicente A. de Sousa Jr., Allan de M. Martins:
Characterization of Noise Level Inside a Vehicle under Different Conditions. Sensors 20(9): 2471 (2020) - [j7]Daniel Rodrigues de Luna, T. T. C. Palitó, Y. A. O. Assagra, Ruy Alberto Pisani Altafim, João Paulo Carmo, Ruy Alberto Correa Altafim, Antonio Adilton Oliveira Carneiro, Vicente A. de Sousa Jr.:
Ferroelectret-based Hydrophone Employed in Oil Identification - A Machine Learning Approach. Sensors 20(10): 2979 (2020)
2010 – 2019
- 2019
- [j6]Danilo Pena, Carlos Lima, Matheus Dória, Luan Pena, Allan de M. Martins, Vicente A. de Sousa Jr.:
Acoustic Impulsive Noise Based on Non-Gaussian Models: An Experimental Evaluation. Sensors 19(12): 2827 (2019) - [j5]Nibia Souza Bezerra, Christer Åhlund, Saguna Saguna, Vicente A. de Sousa Jr.:
Temperature Impact in LoRaWAN - A Case Study in Northern Sweden. Sensors 19(20): 4414 (2019) - [j4]Pedro Maia De Santana, Vicente A. de Sousa Jr., Fuad M. Abinader Jr., José M. de Castro Neto:
DM-CSAT: a LTE-U/Wi-Fi coexistence solution based on reinforcement learning. Telecommun. Syst. 71(4): 615-626 (2019) - [c9]Nibia Souza Bezerra, Christer Åhlund, Saguna, Vicente A. de Sousa Jr.:
Propagation Model Evaluation for LoRaWAN: Planning Tool Versus Real Case Scenario. WF-IoT 2019: 1-6 - 2018
- [j3]Fuad M. Abinader Jr., Vicente A. de Sousa Jr., Sayantan Choudhury, Fabiano de Sousa Chaves, André M. Cavalcante, Erika P. L. Almeida, Robson D. Vieira, Esa Tuomaala, Klaus Doppler:
LTE/Wi-Fi Coexistence in 5 GHz ISM Spectrum: Issues, Solutions and Perspectives. Wirel. Pers. Commun. 99(1): 403-430 (2018) - 2017
- [j2]Fuad M. Abinader Jr., Sayantan Choudhury, Vicente A. de Sousa Jr., Fabiano de Sousa Chaves, André M. Cavalcante, Erika P. L. Almeida, Robson D. Vieira, Esa Tuomaala, Klaus Doppler:
Distributed Wi-Fi Interference Coordination for Dense Deployments. Wirel. Pers. Commun. 97(1): 1033-1058 (2017) - 2014
- [j1]Fuad M. Abinader Jr., Erika P. L. Almeida, Fabiano de Sousa Chaves, André M. Cavalcante, Robson D. Vieira, Rafael C. D. Paiva, Angilberto M. Sobrinho, Sayantan Choudhury, Esa Tuomaala, Klaus Doppler, Vicente A. de Sousa Jr.:
Enabling the coexistence of LTE and Wi-Fi in unlicensed bands. IEEE Commun. Mag. 52(11): 54-61 (2014) - [c8]Fuad M. Abinader Jr., Erika P. L. Almeida, Sayantan Choudhury, Vicente A. de Sousa Jr., André M. Cavalcante, Fabiano de Sousa Chaves, Esa Tuomaala, Robson D. Vieira, Klaus Doppler:
Performance Evaluation of IEEE 802.11n WLAN in Dense Deployment Scenarios. VTC Fall 2014: 1-5 - 2012
- [c7]Fuad M. Abinader Jr., Vicente A. de Sousa Jr., Nibia Souza Bezerra, Gino Lozada, Pekko Orava, Anderson S. B. Fernandes, Adaildo G. D'Assunção:
Performance of Power Saving Modes in IEEE 802.16e System. VTC Fall 2012: 1-5 - [c6]Aluisio I. Rêgo Fontes, Leandro A. Pasa, Vicente A. de Sousa Jr., Fuad M. Abinader Jr., José Alfredo Ferreira Costa, Luiz Felipe Q. Silveira:
Automatic Modulation Classification Using Information Theoretic Similarity Measures. VTC Fall 2012: 1-5
2000 – 2009
- 2006
- [c5]Fabiano de Sousa Chaves, Vicente A. de Sousa Jr., R. A. de Oliveira Neto, Carlos Héracles M. de Lima, Francisco Rodrigo P. Cavalcanti:
Performance of Energy Efficient Game Theoretical-Based Power Control Algorithm in WCDMA. PIMRC 2006: 1-5 - [c4]Vicente A. de Sousa Jr., R. A. de Oliveira Neto, Fabiano de Sousa Chaves, Francisco Rodrigo P. Cavalcanti:
Attractiveness of Intelligent Access Selection for Multi-Access Beyond 3G Wireless Networks. PIMRC 2006: 1-5 - [c3]Vicente A. de Sousa Jr., R. A. de Oliveira Neto, Fabiano de Sousa Chaves, Leonardo S. Cardoso, Francisco Rodrigo P. Cavalcanti:
Access Selection with Anticipatory Vertical Handover for Multi-Access Networks. PIMRC 2006: 1-5 - 2004
- [c2]Carlos Héracles M. de Lima, Emanuel Bezerra Rodrigues, Vicente A. de Sousa Jr., Francisco Rodrigo P. Cavalcanti, André R. Braga:
Evaluation of Fixed Thresholds for Allocation and Management of Dedicated Channels Transmission Power in WCDMA Networks. ICT 2004: 1122-1127 - 2002
- [c1]Vicente A. de Sousa Jr., Francisco Rodrigo P. Cavalcanti, Carlos Héracles M. de Lima, Emanuel Bezerra Rodrigues:
Performance study for a microcell hot spot embedded in WCDMA macrocell system with smart antennas. VTC Spring 2002: 360-364
Coauthor Index
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