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Artigo de periodico
A neurorobotics approach to behaviour selection based on human activity recognition (2023)
Ranieri, Caetano Mazzoni ; Moioli, Renan Cipriano ; Vargas, Patrícia Amâncio ; Romero, Roseli Aparecida Francelin
Source: Cognitive Neurodynamics. Unidade: ICMC
Subjects: ROBÓTICA, INTERAÇÃO HOMEM-MÁQUINA, ROBÔS
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ABNT
RANIERI, Caetano Mazzoni et al. A neurorobotics approach to behaviour selection based on human activity recognition. Cognitive Neurodynamics, v. 17, n. 4, p. 1009-1028, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11571-022-09886-z. Acesso em: 13 nov. 2024.
APA
Ranieri, C. M., Moioli, R. C., Vargas, P. A., & Romero, R. A. F. (2023). A neurorobotics approach to behaviour selection based on human activity recognition. Cognitive Neurodynamics, 17( 4), 1009-1028. doi:10.1007/s11571-022-09886-z
NLM
Ranieri CM, Moioli RC, Vargas PA, Romero RAF. A neurorobotics approach to behaviour selection based on human activity recognition [Internet]. Cognitive Neurodynamics. 2023 ; 17( 4): 1009-1028.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11571-022-09886-z
Vancouver
Ranieri CM, Moioli RC, Vargas PA, Romero RAF. A neurorobotics approach to behaviour selection based on human activity recognition [Internet]. Cognitive Neurodynamics. 2023 ; 17( 4): 1009-1028.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11571-022-09886-z
Artigo de periodico
Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors (2023)
Ferraz Júnior, Fábio ; Romero, Roseli Aparecida Francelin ; Hsieh, Sheng-Jen
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, MANUTENÇÃO PREDITIVA, MOTORES ELÉTRICOS
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ABNT
FERRAZ JÚNIOR, Fábio e ROMERO, Roseli Aparecida Francelin e HSIEH, Sheng-Jen. Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors. Sensors, v. 23, n. 24, p. 1-25, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23249725. Acesso em: 13 nov. 2024.
APA
Ferraz Júnior, F., Romero, R. A. F., & Hsieh, S. -J. (2023). Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors. Sensors, 23( 24), 1-25. doi:10.3390/s23249725
NLM
Ferraz Júnior F, Romero RAF, Hsieh S-J. Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors [Internet]. Sensors. 2023 ; 23( 24): 1-25.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/s23249725
Vancouver
Ferraz Júnior F, Romero RAF, Hsieh S-J. Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors [Internet]. Sensors. 2023 ; 23( 24): 1-25.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/s23249725
Artigo de periodico
A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context (2022)
Santos, Iury Batista de Andrade ; Romero, Roseli Aparecida Francelin
Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, ROBÓTICA
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ABNT
SANTOS, Iury Batista de Andrade e ROMERO, Roseli Aparecida Francelin. A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context. Journal of Intelligent & Robotic Systems, v. 104, n. 3, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10846-021-01566-0. Acesso em: 13 nov. 2024.
APA
Santos, I. B. de A., & Romero, R. A. F. (2022). A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context. Journal of Intelligent & Robotic Systems, 104( 3), 1-21. doi:10.1007/s10846-021-01566-0
NLM
Santos IB de A, Romero RAF. A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context [Internet]. Journal of Intelligent & Robotic Systems. 2022 ; 104( 3): 1-21.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s10846-021-01566-0
Vancouver
Santos IB de A, Romero RAF. A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context [Internet]. Journal of Intelligent & Robotic Systems. 2022 ; 104( 3): 1-21.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s10846-021-01566-0
Artigo de periodico
Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy (2022)
Liu, Xu ; Nardari, Guilherme Vicentim ; Ojeda, Fernando Cladera; Tao, Yuezhan ; Zhou, Alex; Donnelly, Thomas; Qu, Chao; Chen, Steven W ; Romero, Roseli Aparecida Francelin ; Taylor, Camillo J; Kumar, Vijay
Source: IEEE Robotics and Automation Letters. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, AERONAVES NÃO TRIPULADAS
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ABNT
LIU, Xu et al. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy. IEEE Robotics and Automation Letters, v. 7, n. 2, p. 5512-5519, 2022Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3154047. Acesso em: 13 nov. 2024.
APA
Liu, X., Nardari, G. V., Ojeda, F. C., Tao, Y., Zhou, A., Donnelly, T., et al. (2022). Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy. IEEE Robotics and Automation Letters, 7( 2), 5512-5519. doi:10.1109/LRA.2022.3154047
NLM
Liu X, Nardari GV, Ojeda FC, Tao Y, Zhou A, Donnelly T, Qu C, Chen SW, Romero RAF, Taylor CJ, Kumar V. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 2): 5512-5519.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/LRA.2022.3154047
Vancouver
Liu X, Nardari GV, Ojeda FC, Tao Y, Zhou A, Donnelly T, Qu C, Chen SW, Romero RAF, Taylor CJ, Kumar V. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 2): 5512-5519.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/LRA.2022.3154047
Artigo de periodico
Deep Q-network for social robotics using emotional social signals (2022)
Belo, José Pedro Ribeiro ; Azevedo, Hélio ; Ramos, Josue ; Romero, Roseli Aparecida Francelin
Source: Frontiers in Robotics and AI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ROBÓTICA, ROBÔS, INTERAÇÃO HOMEM-MÁQUINA
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ABNT
BELO, José Pedro Ribeiro et al. Deep Q-network for social robotics using emotional social signals. Frontiers in Robotics and AI, v. 9, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.3389/frobt.2022.880547. Acesso em: 13 nov. 2024.
APA
Belo, J. P. R., Azevedo, H., Ramos, J., & Romero, R. A. F. (2022). Deep Q-network for social robotics using emotional social signals. Frontiers in Robotics and AI, 9, 1-19. doi:10.3389/frobt.2022.880547
NLM
Belo JPR, Azevedo H, Ramos J, Romero RAF. Deep Q-network for social robotics using emotional social signals [Internet]. Frontiers in Robotics and AI. 2022 ; 9 1-19.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/frobt.2022.880547
Vancouver
Belo JPR, Azevedo H, Ramos J, Romero RAF. Deep Q-network for social robotics using emotional social signals [Internet]. Frontiers in Robotics and AI. 2022 ; 9 1-19.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/frobt.2022.880547
Artigo de periodico
A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys (2021)
Ranieri, Caetano Mazzoni ; Pimentel, Jhielson Montino ; Romano, Marcelo Ramos ; Elias, Leonardo Abdala ; Romero, Roseli Aparecida Francelin ; Lones, Michael Adam ; Araújo, Mariana Ferreira Pereira de ; Vargas, Patrícia Amâncio ; Moioli, Renan Cipriano
Source: IEEE Access. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, TECNOLOGIAS DA SAÚDE, SENSORES BIOMÉDICOS, DOENÇA DE PARKINSON
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ABNT
RANIERI, Caetano Mazzoni et al. A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys. IEEE Access, v. 9, p. 122548-122567, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3108682. Acesso em: 13 nov. 2024.
APA
Ranieri, C. M., Pimentel, J. M., Romano, M. R., Elias, L. A., Romero, R. A. F., Lones, M. A., et al. (2021). A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys. IEEE Access, 9, 122548-122567. doi:10.1109/ACCESS.2021.3108682
NLM
Ranieri CM, Pimentel JM, Romano MR, Elias LA, Romero RAF, Lones MA, Araújo MFP de, Vargas PA, Moioli RC. A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys [Internet]. IEEE Access. 2021 ; 9 122548-122567.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ACCESS.2021.3108682
Vancouver
Ranieri CM, Pimentel JM, Romano MR, Elias LA, Romero RAF, Lones MA, Araújo MFP de, Vargas PA, Moioli RC. A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys [Internet]. IEEE Access. 2021 ; 9 122548-122567.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ACCESS.2021.3108682
Artigo de periodico
Activity recognition for ambient assisted living with videos, inertial units and ambient sensors (2021)
Ranieri, Caetano Mazzoni ; MacLeod, Scott ; Dragone, Mauro ; Vargas, Patrícia Amâncio ; Romero, Roseli Aparecida Francelin
Source: Sensors. Unidade: ICMC
Subjects: ROBÓTICA, APRENDIZADO COMPUTACIONAL, INTERAÇÃO HOMEM-MÁQUINA, ROBÔS, RECONHECIMENTO DE IMAGEM
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ABNT
RANIERI, Caetano Mazzoni et al. Activity recognition for ambient assisted living with videos, inertial units and ambient sensors. Sensors, v. 21, n. 3, p. 1-32, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21030768. Acesso em: 13 nov. 2024.
APA
Ranieri, C. M., MacLeod, S., Dragone, M., Vargas, P. A., & Romero, R. A. F. (2021). Activity recognition for ambient assisted living with videos, inertial units and ambient sensors. Sensors, 21( 3), 1-32. doi:10.3390/s21030768
NLM
Ranieri CM, MacLeod S, Dragone M, Vargas PA, Romero RAF. Activity recognition for ambient assisted living with videos, inertial units and ambient sensors [Internet]. Sensors. 2021 ; 21( 3): 1-32.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/s21030768
Vancouver
Ranieri CM, MacLeod S, Dragone M, Vargas PA, Romero RAF. Activity recognition for ambient assisted living with videos, inertial units and ambient sensors [Internet]. Sensors. 2021 ; 21( 3): 1-32.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/s21030768
Artigo de periodico
Neuro4PD: an initial neurorobotics model of Parkinson's disease (2021)
Pimentel, Jhielson Montino ; Moioli, Renan Cipriano ; Araújo, Mariana F. P. de; Ranieri, Caetano Mazzoni ; Romero, Roseli Aparecida Francelin ; Broz, Frank ; Vargas, Patrícia Amâncio
Source: Frontiers in Neurorobotics. Unidade: ICMC
Subjects: ROBÓTICA, ROBÔS, TECNOLOGIAS DA SAÚDE, CONTROLE MOTOR, DOENÇA DE PARKINSON
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ABNT
PIMENTEL, Jhielson Montino et al. Neuro4PD: an initial neurorobotics model of Parkinson's disease. Frontiers in Neurorobotics, v. 15, p. 1-24, 2021Tradução . . Disponível em: https://doi.org/10.3389/fnbot.2021.640449. Acesso em: 13 nov. 2024.
APA
Pimentel, J. M., Moioli, R. C., Araújo, M. F. P. de, Ranieri, C. M., Romero, R. A. F., Broz, F., & Vargas, P. A. (2021). Neuro4PD: an initial neurorobotics model of Parkinson's disease. Frontiers in Neurorobotics, 15, 1-24. doi:10.3389/fnbot.2021.640449
NLM
Pimentel JM, Moioli RC, Araújo MFP de, Ranieri CM, Romero RAF, Broz F, Vargas PA. Neuro4PD: an initial neurorobotics model of Parkinson's disease [Internet]. Frontiers in Neurorobotics. 2021 ; 15 1-24.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fnbot.2021.640449
Vancouver
Pimentel JM, Moioli RC, Araújo MFP de, Ranieri CM, Romero RAF, Broz F, Vargas PA. Neuro4PD: an initial neurorobotics model of Parkinson's disease [Internet]. Frontiers in Neurorobotics. 2021 ; 15 1-24.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fnbot.2021.640449
Artigo de periodico
FEA and machine learning techniques for hidden structure analysis (2021)
Shi, Xijin ; Hsieh, Sheng-Jen ; Romero, Roseli Aparecida Francelin
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MÉTODO DOS ELEMENTOS FINITOS, VISÃO COMPUTACIONAL, SISTEMA RADICULAR
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ABNT
SHI, Xijin e HSIEH, Sheng-Jen e ROMERO, Roseli Aparecida Francelin. FEA and machine learning techniques for hidden structure analysis. Sensors, v. 21, n. 15, p. 1-24, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21155159. Acesso em: 13 nov. 2024.
APA
Shi, X., Hsieh, S. -J., & Romero, R. A. F. (2021). FEA and machine learning techniques for hidden structure analysis. Sensors, 21( 15), 1-24. doi:10.3390/s21155159
NLM
Shi X, Hsieh S-J, Romero RAF. FEA and machine learning techniques for hidden structure analysis [Internet]. Sensors. 2021 ; 21( 15): 1-24.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/s21155159
Vancouver
Shi X, Hsieh S-J, Romero RAF. FEA and machine learning techniques for hidden structure analysis [Internet]. Sensors. 2021 ; 21( 15): 1-24.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/s21155159
Artigo de periodico
Place recognition in forests with urquhart tessellations (2021)
Nardari, Guilherme Vicentim ; Cohen, Avraham; Chen, Steven W ; Liu, Xu ; Arcot, Vaibhav; Romero, Roseli Aparecida Francelin ; Kumar, Vijay
Source: IEEE Robotics and Automation Letters. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, ROBÓTICA, AGRICULTURA DE PRECISÃO
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ABNT
NARDARI, Guilherme Vicentim et al. Place recognition in forests with urquhart tessellations. IEEE Robotics and Automation Letters, v. 6, n. 2, p. 279-286, 2021Tradução . . Disponível em: https://doi.org/10.1109/LRA.2020.3039217. Acesso em: 13 nov. 2024.
APA
Nardari, G. V., Cohen, A., Chen, S. W., Liu, X., Arcot, V., Romero, R. A. F., & Kumar, V. (2021). Place recognition in forests with urquhart tessellations. IEEE Robotics and Automation Letters, 6( 2), 279-286. doi:10.1109/LRA.2020.3039217
NLM
Nardari GV, Cohen A, Chen SW, Liu X, Arcot V, Romero RAF, Kumar V. Place recognition in forests with urquhart tessellations [Internet]. IEEE Robotics and Automation Letters. 2021 ; 6( 2): 279-286.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/LRA.2020.3039217
Vancouver
Nardari GV, Cohen A, Chen SW, Liu X, Arcot V, Romero RAF, Kumar V. Place recognition in forests with urquhart tessellations [Internet]. IEEE Robotics and Automation Letters. 2021 ; 6( 2): 279-286.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/LRA.2020.3039217
Artigo de periodico
Socially acceptable navigation of people with multi-robot teams (2020)
Batista, Murillo Rehder ; Macharet, Douglas Guimarães ; Romero, Roseli Aparecida Francelin
Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Subjects: ROBÓTICA, ROBÔS, INTERAÇÃO USUÁRIO-COMPUTADOR
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ABNT
BATISTA, Murillo Rehder e MACHARET, Douglas Guimarães e ROMERO, Roseli Aparecida Francelin. Socially acceptable navigation of people with multi-robot teams. Journal of Intelligent & Robotic Systems, v. 98, n. 2, p. 481-510, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10846-019-01080-4. Acesso em: 13 nov. 2024.
APA
Batista, M. R., Macharet, D. G., & Romero, R. A. F. (2020). Socially acceptable navigation of people with multi-robot teams. Journal of Intelligent & Robotic Systems, 98( 2), 481-510. doi:10.1007/s10846-019-01080-4
NLM
Batista MR, Macharet DG, Romero RAF. Socially acceptable navigation of people with multi-robot teams [Internet]. Journal of Intelligent & Robotic Systems. 2020 ; 98( 2): 481-510.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s10846-019-01080-4
Vancouver
Batista MR, Macharet DG, Romero RAF. Socially acceptable navigation of people with multi-robot teams [Internet]. Journal of Intelligent & Robotic Systems. 2020 ; 98( 2): 481-510.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s10846-019-01080-4
Artigo de periodico
SLOAM: semantic lidar odometry and mapping for forest inventory (2020)
Chen, Steven W ; Nardari, Guilherme Vicentim ; Lee, Elijah S ; Qu, Chao; Liu, Xu ; Romero, Roseli Aparecida Francelin ; Kumar, Vijay
Source: IEEE Robotics and Automation Letters. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REALIDADE VIRTUAL, ROBÓTICA, APRENDIZADO COMPUTACIONAL, AGRICULTURA DE PRECISÃO
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ABNT
CHEN, Steven W et al. SLOAM: semantic lidar odometry and mapping for forest inventory. IEEE Robotics and Automation Letters, v. 5, n. 2, p. 612-619, 2020Tradução . . Disponível em: https://doi.org/10.1109/LRA.2019.2963823. Acesso em: 13 nov. 2024.
APA
Chen, S. W., Nardari, G. V., Lee, E. S., Qu, C., Liu, X., Romero, R. A. F., & Kumar, V. (2020). SLOAM: semantic lidar odometry and mapping for forest inventory. IEEE Robotics and Automation Letters, 5( 2), 612-619. doi:10.1109/LRA.2019.2963823
NLM
Chen SW, Nardari GV, Lee ES, Qu C, Liu X, Romero RAF, Kumar V. SLOAM: semantic lidar odometry and mapping for forest inventory [Internet]. IEEE Robotics and Automation Letters. 2020 ; 5( 2): 612-619.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/LRA.2019.2963823
Vancouver
Chen SW, Nardari GV, Lee ES, Qu C, Liu X, Romero RAF, Kumar V. SLOAM: semantic lidar odometry and mapping for forest inventory [Internet]. IEEE Robotics and Automation Letters. 2020 ; 5( 2): 612-619.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/LRA.2019.2963823
Artigo de periodico
Project R-CASTLE: robotic-cognitive adaptive system for teaching and learning (2019)
Tozadore, Daniel Carnieto ; Pinto, Adam Henrique Moreira ; Valentini, João Pedro Hannauer; Camargo, Marcos Cesar Ribeiro de; Zavarizz, Rodrigo Geurgas; Rodrigues, Victor Henrique de Souza; Vendrameto, Fernando Moura Leite; Romero, Roseli Aparecida Francelin
Source: IEEE Transactions on Cognitive and Developmental Systems. Unidade: ICMC
Subjects: ROBÓTICA, ROBÔS, INTERAÇÃO USUÁRIO-COMPUTADOR, CONTROLE ADAPTATIVO
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ABNT
TOZADORE, Daniel Carnieto et al. Project R-CASTLE: robotic-cognitive adaptive system for teaching and learning. IEEE Transactions on Cognitive and Developmental Systems, v. 11, n. 4, p. 581-589, 2019Tradução . . Disponível em: https://doi.org/10.1109/TCDS.2019.2941079. Acesso em: 13 nov. 2024.
APA
Tozadore, D. C., Pinto, A. H. M., Valentini, J. P. H., Camargo, M. C. R. de, Zavarizz, R. G., Rodrigues, V. H. de S., et al. (2019). Project R-CASTLE: robotic-cognitive adaptive system for teaching and learning. IEEE Transactions on Cognitive and Developmental Systems, 11( 4), 581-589. doi:10.1109/TCDS.2019.2941079
NLM
Tozadore DC, Pinto AHM, Valentini JPH, Camargo MCR de, Zavarizz RG, Rodrigues VH de S, Vendrameto FML, Romero RAF. Project R-CASTLE: robotic-cognitive adaptive system for teaching and learning [Internet]. IEEE Transactions on Cognitive and Developmental Systems. 2019 ; 11( 4): 581-589.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/TCDS.2019.2941079
Vancouver
Tozadore DC, Pinto AHM, Valentini JPH, Camargo MCR de, Zavarizz RG, Rodrigues VH de S, Vendrameto FML, Romero RAF. Project R-CASTLE: robotic-cognitive adaptive system for teaching and learning [Internet]. IEEE Transactions on Cognitive and Developmental Systems. 2019 ; 11( 4): 581-589.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/TCDS.2019.2941079
Artigo de periodico
New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists (2017)
Oliveira, Aline A; Lipinski, Célio F; Pereira, Estevão B; Honório, Káthia Maria; Oliveira, Patrícia Rufino; Weber, Karen C; Romero, Roseli Aparecida Francelin ; Sousa, Alexsandro G. de; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Modeling. Unidades: EACH, ICMC, IQSC
Subjects: FARMACOLOGIA MOLECULAR, RECEPTORES, MODELOS (ANÁLISE MULTIVARIADA), REDES NEURAIS
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ABNT
OLIVEIRA, Aline A et al. New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists. Journal of Molecular Modeling, v. 23, p. 1-15, 2017Tradução . . Disponível em: https://doi.org/10.1007/s00894-017-3444-3. Acesso em: 13 nov. 2024.
APA
Oliveira, A. A., Lipinski, C. F., Pereira, E. B., Honório, K. M., Oliveira, P. R., Weber, K. C., et al. (2017). New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists. Journal of Molecular Modeling, 23, 1-15. doi:10.1007/s00894-017-3444-3
NLM
Oliveira AA, Lipinski CF, Pereira EB, Honório KM, Oliveira PR, Weber KC, Romero RAF, Sousa AG de, Silva ABF da. New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists [Internet]. Journal of Molecular Modeling. 2017 ; 23 1-15.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
Vancouver
Oliveira AA, Lipinski CF, Pereira EB, Honório KM, Oliveira PR, Weber KC, Romero RAF, Sousa AG de, Silva ABF da. New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists [Internet]. Journal of Molecular Modeling. 2017 ; 23 1-15.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
Artigo de periodico
Locally oriented potential field for controlling multi-robots (2012)
Romero, Roseli Aparecida Francelin ; Prestes, Edson; Idiart, Marco A. P; Faria, Gedson
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
ROMERO, Roseli Aparecida Francelin et al. Locally oriented potential field for controlling multi-robots. Communications in Nonlinear Science and Numerical Simulation, v. 17, n. 12, p. 4664-4671, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2011.10.027. Acesso em: 13 nov. 2024.
APA
Romero, R. A. F., Prestes, E., Idiart, M. A. P., & Faria, G. (2012). Locally oriented potential field for controlling multi-robots. Communications in Nonlinear Science and Numerical Simulation, 17( 12), 4664-4671. doi:10.1016/j.cnsns.2011.10.027
NLM
Romero RAF, Prestes E, Idiart MAP, Faria G. Locally oriented potential field for controlling multi-robots [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ; 17( 12): 4664-4671.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cnsns.2011.10.027
Vancouver
Romero RAF, Prestes E, Idiart MAP, Faria G. Locally oriented potential field for controlling multi-robots [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ; 17( 12): 4664-4671.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cnsns.2011.10.027
Artigo de periodico
A network of integrate and fire neurons for visual selection (2009)
Quiles, Marcos Gonçalves; Liang Zhao; Breve, Fabricio A.; Romero, Roseli Aparecida Francelin
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUILES, Marcos Gonçalves et al. A network of integrate and fire neurons for visual selection. Neurocomputing, v. 72, n. 10-12, p. 2198-2208, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2008.10.024. Acesso em: 13 nov. 2024.
APA
Quiles, M. G., Liang Zhao,, Breve, F. A., & Romero, R. A. F. (2009). A network of integrate and fire neurons for visual selection. Neurocomputing, 72( 10-12), 2198-2208. doi:10.1016/j.neucom.2008.10.024
NLM
Quiles MG, Liang Zhao, Breve FA, Romero RAF. A network of integrate and fire neurons for visual selection [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2198-2208.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.neucom.2008.10.024
Vancouver
Quiles MG, Liang Zhao, Breve FA, Romero RAF. A network of integrate and fire neurons for visual selection [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2198-2208.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.neucom.2008.10.024
Artigo de periodico
Improvements on ICA mixture models for image pre-processing and segmentation (2008)
Oliveira, Patrícia Rufino; Romero, Roseli Aparecida Francelin
Source: Neurocomputing. Unidades: EACH, ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Patrícia Rufino e ROMERO, Roseli Aparecida Francelin. Improvements on ICA mixture models for image pre-processing and segmentation. Neurocomputing, v. 71, n. 10-12, p. 2180-2193, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2007.10.016. Acesso em: 13 nov. 2024.
APA
Oliveira, P. R., & Romero, R. A. F. (2008). Improvements on ICA mixture models for image pre-processing and segmentation. Neurocomputing, 71( 10-12), 2180-2193. doi:10.1016/j.neucom.2007.10.016
NLM
Oliveira PR, Romero RAF. Improvements on ICA mixture models for image pre-processing and segmentation [Internet]. Neurocomputing. 2008 ; 71( 10-12): 2180-2193.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.neucom.2007.10.016
Vancouver
Oliveira PR, Romero RAF. Improvements on ICA mixture models for image pre-processing and segmentation [Internet]. Neurocomputing. 2008 ; 71( 10-12): 2180-2193.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.neucom.2007.10.016

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