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Artigo de periodico
Artifcial neural networks for PIO events classifcation comparing diferent data collection procedures (2024)
Bruschi, Adriano Ghigiarelli; Drewiacki, Daniel; Bidinotto, Jorge Henrique
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC
Subjects: VOO (ENGENHARIA AERONÁUTICA), VOO (ENGENHARIA AERONÁUTICA), REDES NEURAIS, ENGENHARIA AERONÁUTICA
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ABNT
BRUSCHI, Adriano Ghigiarelli e DREWIACKI, Daniel e BIDINOTTO, Jorge Henrique. Artifcial neural networks for PIO events classifcation comparing diferent data collection procedures. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 46, p. 1-10, 2024Tradução . . Disponível em: https://dx.doi.org/10.1007/s40430-024-05070-y. Acesso em: 18 set. 2024.
APA
Bruschi, A. G., Drewiacki, D., & Bidinotto, J. H. (2024). Artifcial neural networks for PIO events classifcation comparing diferent data collection procedures. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46, 1-10. doi:10.1007/s40430-024-05070-y
NLM
Bruschi AG, Drewiacki D, Bidinotto JH. Artifcial neural networks for PIO events classifcation comparing diferent data collection procedures [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2024 ; 46 1-10.[citado 2024 set. 18 ] Available from: https://dx.doi.org/10.1007/s40430-024-05070-y
Vancouver
Bruschi AG, Drewiacki D, Bidinotto JH. Artifcial neural networks for PIO events classifcation comparing diferent data collection procedures [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2024 ; 46 1-10.[citado 2024 set. 18 ] Available from: https://dx.doi.org/10.1007/s40430-024-05070-y
Artigo de periodico
Robust and intelligent control of quadrotors subject to wind gusts (2024)
Simplício, Paulo Victor Galvão; Benevides, João Roberto Soares; Inoue, Roberto Santos; Terra, Marco Henrique
Source: IET Control Theory & Applications. Unidade: EESC
Subjects: AERONAVES QUADRIMOTORAS, REDES NEURAIS, ENGENHARIA ELÉTRICA
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ABNT
SIMPLÍCIO, Paulo Victor Galvão et al. Robust and intelligent control of quadrotors subject to wind gusts. IET Control Theory & Applications, p. 1-18, 2024Tradução . . Disponível em: http://dx.doi.org/10.1049/cth2.12615. Acesso em: 18 set. 2024.
APA
Simplício, P. V. G., Benevides, J. R. S., Inoue, R. S., & Terra, M. H. (2024). Robust and intelligent control of quadrotors subject to wind gusts. IET Control Theory & Applications, 1-18. doi:10.1049/cth2.12615
NLM
Simplício PVG, Benevides JRS, Inoue RS, Terra MH. Robust and intelligent control of quadrotors subject to wind gusts [Internet]. IET Control Theory & Applications. 2024 ; 1-18.[citado 2024 set. 18 ] Available from: http://dx.doi.org/10.1049/cth2.12615
Vancouver
Simplício PVG, Benevides JRS, Inoue RS, Terra MH. Robust and intelligent control of quadrotors subject to wind gusts [Internet]. IET Control Theory & Applications. 2024 ; 1-18.[citado 2024 set. 18 ] Available from: http://dx.doi.org/10.1049/cth2.12615
Artigo de periodico
A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition (2023)
Ribeiro, Kandice Suane Barros ; Nuñez, Henrique Hiram Libutti; Venter, Giuliana Sardi ; Doude, Haley R ; Coelho, Reginaldo Teixeira
Source: International Journal of Advanced Manufacturing Technology. Unidades: EESC, ICMC
Subjects: MANUFATURA ADITIVA, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
RIBEIRO, Kandice Suane Barros et al. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition. International Journal of Advanced Manufacturing Technology, v. 127, n. 7-8, p. 3183-3194, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00170-023-11582-z. Acesso em: 18 set. 2024.
APA
Ribeiro, K. S. B., Nuñez, H. H. L., Venter, G. S., Doude, H. R., & Coelho, R. T. (2023). A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition. International Journal of Advanced Manufacturing Technology, 127( 7-8), 3183-3194. doi:10.1007/s00170-023-11582-z
NLM
Ribeiro KSB, Nuñez HHL, Venter GS, Doude HR, Coelho RT. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 127( 7-8): 3183-3194.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s00170-023-11582-z
Vancouver
Ribeiro KSB, Nuñez HHL, Venter GS, Doude HR, Coelho RT. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 127( 7-8): 3183-3194.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s00170-023-11582-z
Artigo de periodico
Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification (2023)
Bustios, Paul ; Rosa, João Luís Garcia
Source: Applied Intelligence. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZAGEM PROFUNDA, ELETROENCEFALOGRAFIA
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ABNT
BUSTIOS, Paul e ROSA, João Luís Garcia. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification. Applied Intelligence, v. 53, n. 24, p. 30133-30147, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10489-023-05134-x. Acesso em: 18 set. 2024.
APA
Bustios, P., & Rosa, J. L. G. (2023). Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification. Applied Intelligence, 53( 24), 30133-30147. doi:10.1007/s10489-023-05134-x
NLM
Bustios P, Rosa JLG. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification [Internet]. Applied Intelligence. 2023 ; 53( 24): 30133-30147.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s10489-023-05134-x
Vancouver
Bustios P, Rosa JLG. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification [Internet]. Applied Intelligence. 2023 ; 53( 24): 30133-30147.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s10489-023-05134-x
Artigo de periodico
Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning (2023)
Mochi, Victor H; Nuñez, Henrique Hiram Libutti; Ribeiro, Kandice Suane Barros ; Venter, Giuliana Sardi
Source: International Journal of Advanced Manufacturing Technology. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, MANUFATURA ADITIVA
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ABNT
MOCHI, Victor H et al. Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning. International Journal of Advanced Manufacturing Technology, v. 129, n. 11-12, p. 5643-5654, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00170-023-12658-6. Acesso em: 18 set. 2024.
APA
Mochi, V. H., Nuñez, H. H. L., Ribeiro, K. S. B., & Venter, G. S. (2023). Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning. International Journal of Advanced Manufacturing Technology, 129( 11-12), 5643-5654. doi:10.1007/s00170-023-12658-6
NLM
Mochi VH, Nuñez HHL, Ribeiro KSB, Venter GS. Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 129( 11-12): 5643-5654.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s00170-023-12658-6
Vancouver
Mochi VH, Nuñez HHL, Ribeiro KSB, Venter GS. Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 129( 11-12): 5643-5654.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s00170-023-12658-6
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: 18 set. 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 set. 18 ] 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 set. 18 ] Available from: https://doi.org/10.1007/s10846-021-01566-0
Artigo de periodico
Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model (2022)
Oliveira, Matheus Marcondes; Sotto Mayor, Gabriel; Macedo, João Paulo Costa Antunes de; Bidinotto, Jorge Henrique
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC
Subjects: REDES NEURAIS, TURBULÊNCIA ATMOSFÉRICA, VOO (ENGENHARIA AERONÁUTICA), ENGENHARIA AERONÁUTICA
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ABNT
OLIVEIRA, Matheus Marcondes et al. Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 44, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40430-022-03386-1. Acesso em: 18 set. 2024.
APA
Oliveira, M. M., Sotto Mayor, G., Macedo, J. P. C. A. de, & Bidinotto, J. H. (2022). Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44, 1-11. doi:10.1007/s40430-022-03386-1
NLM
Oliveira MM, Sotto Mayor G, Macedo JPCA de, Bidinotto JH. Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2022 ; 44 1-11.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s40430-022-03386-1
Vancouver
Oliveira MM, Sotto Mayor G, Macedo JPCA de, Bidinotto JH. Neural networks to classify atmospheric turbulence from fight test data: an optimization of input parameters for a generic model [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2022 ; 44 1-11.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s40430-022-03386-1
Artigo de periodico
ELINAC: autoencoder approach for electronic invoices data clustering (2022)
Schulte , Johannes Peter ; Giuntini, Felipe Taliar ; Nobre, Renato Avellar ; Nascimento, Khalil C ; Meneguette, Rodolfo Ipolito ; Li, Weigang ; Gonçalves, Vinicius Pereira ; Rocha Filho, Geraldo Pereira
Source: Applied Sciences. Unidade: ICMC
Subjects: NOTA FISCAL ELETRÔNICA, REDES NEURAIS, CLUSTERS
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ABNT
SCHULTE , Johannes Peter et al. ELINAC: autoencoder approach for electronic invoices data clustering. Applied Sciences, v. 12, n. 6, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12063008. Acesso em: 18 set. 2024.
APA
Schulte , J. P., Giuntini, F. T., Nobre, R. A., Nascimento, K. C., Meneguette, R. I., Li, W., et al. (2022). ELINAC: autoencoder approach for electronic invoices data clustering. Applied Sciences, 12( 6), 1-19. doi:10.3390/app12063008
NLM
Schulte JP, Giuntini FT, Nobre RA, Nascimento KC, Meneguette RI, Li W, Gonçalves VP, Rocha Filho GP. ELINAC: autoencoder approach for electronic invoices data clustering [Internet]. Applied Sciences. 2022 ; 12( 6): 1-19.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/app12063008
Vancouver
Schulte JP, Giuntini FT, Nobre RA, Nascimento KC, Meneguette RI, Li W, Gonçalves VP, Rocha Filho GP. ELINAC: autoencoder approach for electronic invoices data clustering [Internet]. Applied Sciences. 2022 ; 12( 6): 1-19.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/app12063008
Artigo de periodico
Task‑space impedance control of a parallel Delta robot using dual quaternions and a neural network (2021)
Noppeney, Victor Tamassia; Cunha, Thiago Boaventura; Siqueira, Adriano Almeida Gonçalves
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC
Subjects: IMPEDÂNCIA ELÉTRICA, CINEMÁTICA, REDES NEURAIS, QUATERNIOS, ENGENHARIA MECÂNICA
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ABNT
NOPPENEY, Victor Tamassia e CUNHA, Thiago Boaventura e SIQUEIRA, Adriano Almeida Gonçalves. Task‑space impedance control of a parallel Delta robot using dual quaternions and a neural network. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40430-021-03157-4. Acesso em: 18 set. 2024.
APA
Noppeney, V. T., Cunha, T. B., & Siqueira, A. A. G. (2021). Task‑space impedance control of a parallel Delta robot using dual quaternions and a neural network. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43, 1-11. doi:10.1007/s40430-021-03157-4
NLM
Noppeney VT, Cunha TB, Siqueira AAG. Task‑space impedance control of a parallel Delta robot using dual quaternions and a neural network [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43 1-11.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s40430-021-03157-4
Vancouver
Noppeney VT, Cunha TB, Siqueira AAG. Task‑space impedance control of a parallel Delta robot using dual quaternions and a neural network [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43 1-11.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s40430-021-03157-4
Artigo de periodico
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function (2021)
Watanabe, Thomio ; Wolf, Denis Fernando
Source: Applied Soft Computing. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS
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ABNT
WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 18 set. 2024.
APA
Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
NLM
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Vancouver
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Artigo de periodico
SmartSORT: an MLP-based method for tracking multiple objects in real-time (2021)
Meneses, Michel; Matos, Leonardo ; Prado, Bruno ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Macedo, Hendrik
Source: Journal of Real-Time Image Processing. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM
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ABNT
MENESES, Michel et al. SmartSORT: an MLP-based method for tracking multiple objects in real-time. Journal of Real-Time Image Processing, v. 18, n. 3, p. 913-921, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11554-020-01054-y. Acesso em: 18 set. 2024.
APA
Meneses, M., Matos, L., Prado, B., Carvalho, A. C. P. de L. F. de, & Macedo, H. (2021). SmartSORT: an MLP-based method for tracking multiple objects in real-time. Journal of Real-Time Image Processing, 18( 3), 913-921. doi:10.1007/s11554-020-01054-y
NLM
Meneses M, Matos L, Prado B, Carvalho ACP de LF de, Macedo H. SmartSORT: an MLP-based method for tracking multiple objects in real-time [Internet]. Journal of Real-Time Image Processing. 2021 ; 18( 3): 913-921.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s11554-020-01054-y
Vancouver
Meneses M, Matos L, Prado B, Carvalho ACP de LF de, Macedo H. SmartSORT: an MLP-based method for tracking multiple objects in real-time [Internet]. Journal of Real-Time Image Processing. 2021 ; 18( 3): 913-921.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s11554-020-01054-y
Artigo de periodico
Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Source: Sensors. Unidade: ICMC
Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS
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ABNT
FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 18 set. 2024.
APA
Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506
NLM
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/s21227506
Vancouver
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/s21227506
Artigo de periodico
Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts (2021)
Zaghir, Jamil ; Rodrigues Junior, José Fernando ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Source: Journal of Healthcare Informatics Research. Unidade: ICMC
Subjects: REDES NEURAIS, TECNOLOGIAS DA SAÚDE, PROGNÓSTICO
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ABNT
ZAGHIR, Jamil et al. Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts. Journal of Healthcare Informatics Research, v. 5, n. 4, p. 474-496, 2021Tradução . . Disponível em: https://doi.org/10.1007/s41666-021-00100-z. Acesso em: 18 set. 2024.
APA
Zaghir, J., Rodrigues Junior, J. F., Goeuriot, L., & Amer-Yahia, S. (2021). Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts. Journal of Healthcare Informatics Research, 5( 4), 474-496. doi:10.1007/s41666-021-00100-z
NLM
Zaghir J, Rodrigues Junior JF, Goeuriot L, Amer-Yahia S. Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts [Internet]. Journal of Healthcare Informatics Research. 2021 ; 5( 4): 474-496.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s41666-021-00100-z
Vancouver
Zaghir J, Rodrigues Junior JF, Goeuriot L, Amer-Yahia S. Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts [Internet]. Journal of Healthcare Informatics Research. 2021 ; 5( 4): 474-496.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s41666-021-00100-z
Artigo de periodico
Exploring neural network hidden layer activity using vector fields (2020)
Cantareira, Gabriel Dias ; Etemad, Elham; Paulovich, Fernando Vieira
Source: Information. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISUALIZAÇÃO
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ABNT
CANTAREIRA, Gabriel Dias e ETEMAD, Elham e PAULOVICH, Fernando Vieira. Exploring neural network hidden layer activity using vector fields. Information, v. 11, n. 9, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.3390/info11090426. Acesso em: 18 set. 2024.
APA
Cantareira, G. D., Etemad, E., & Paulovich, F. V. (2020). Exploring neural network hidden layer activity using vector fields. Information, 11( 9), Se 2020. doi:10.3390/info11090426
NLM
Cantareira GD, Etemad E, Paulovich FV. Exploring neural network hidden layer activity using vector fields [Internet]. Information. 2020 ; 11( 9): Se 2020.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/info11090426
Vancouver
Cantareira GD, Etemad E, Paulovich FV. Exploring neural network hidden layer activity using vector fields [Internet]. Information. 2020 ; 11( 9): Se 2020.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/info11090426
Artigo de periodico
Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks (2020)
Silva, Lázaro Eduardo da; Coury, Denis Vinicius
Source: Computers and Electrical Engineering. Unidade: EESC
Subjects: REDES DE COMPUTADORES, SEGURANÇA DE REDES, REDES NEURAIS, ENGENHARIA ELÉTRICA
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ABNT
SILVA, Lázaro Eduardo da e COURY, Denis Vinicius. Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks. Computers and Electrical Engineering, v. 87, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compeleceng.2020.106793. Acesso em: 18 set. 2024.
APA
Silva, L. E. da, & Coury, D. V. (2020). Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks. Computers and Electrical Engineering, 87, 1-14. doi:10.1016/j.compeleceng.2020.106793
NLM
Silva LE da, Coury DV. Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks [Internet]. Computers and Electrical Engineering. 2020 ; 87 1-14.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.compeleceng.2020.106793
Vancouver
Silva LE da, Coury DV. Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks [Internet]. Computers and Electrical Engineering. 2020 ; 87 1-14.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.compeleceng.2020.106793
Artigo de periodico
Theoretical learning guarantees applied to acoustic modeling (2019)
Shulby, Christopher D; Ferreira, Martha D; Mello, Rodrigo Fernandes de; Aluísio, Sandra Maria
Source: Journal of the Brazilian Computer Society. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE VOZ
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ABNT
SHULBY, Christopher D et al. Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, v. 25, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1186/s13173-018-0081-3. Acesso em: 18 set. 2024.
APA
Shulby, C. D., Ferreira, M. D., Mello, R. F. de, & Aluísio, S. M. (2019). Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, 25, 1-12. doi:10.1186/s13173-018-0081-3
NLM
Shulby CD, Ferreira MD, Mello RF de, Aluísio SM. Theoretical learning guarantees applied to acoustic modeling [Internet]. Journal of the Brazilian Computer Society. 2019 ; 25 1-12.[citado 2024 set. 18 ] Available from: https://doi.org/10.1186/s13173-018-0081-3
Vancouver
Shulby CD, Ferreira MD, Mello RF de, Aluísio SM. Theoretical learning guarantees applied to acoustic modeling [Internet]. Journal of the Brazilian Computer Society. 2019 ; 25 1-12.[citado 2024 set. 18 ] Available from: https://doi.org/10.1186/s13173-018-0081-3
Artigo de periodico
Designing architectures of convolutional neural networks to solve practical problems (2018)
Ferreira, Martha Dais; Corrêa, Débora Cristina; Nonato, Luis Gustavo ; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 18 set. 2024.
APA
Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052
NLM
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Vancouver
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Artigo de periodico
Predicting glass transition temperatures using neural networks (2018)
Cassar, Daniel R; Carvalho, André Carlos Ponce de Leon Ferreira de ; Zanotto, Edgar Dutra
Source: Acta Materialia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VIDRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASSAR, Daniel R e CARVALHO, André Carlos Ponce de Leon Ferreira de e ZANOTTO, Edgar Dutra. Predicting glass transition temperatures using neural networks. Acta Materialia, v. 159, p. 249-256, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2018.08.022. Acesso em: 18 set. 2024.
APA
Cassar, D. R., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2018). Predicting glass transition temperatures using neural networks. Acta Materialia, 159, 249-256. doi:10.1016/j.actamat.2018.08.022
NLM
Cassar DR, Carvalho ACP de LF de, Zanotto ED. Predicting glass transition temperatures using neural networks [Internet]. Acta Materialia. 2018 ; 159 249-256.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.actamat.2018.08.022
Vancouver
Cassar DR, Carvalho ACP de LF de, Zanotto ED. Predicting glass transition temperatures using neural networks [Internet]. Acta Materialia. 2018 ; 159 249-256.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.actamat.2018.08.022
Artigo de periodico
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network (2017)
Bui, T; Ribeiro, L; Ponti, Moacir Antonelli ; Collomosse, J
Source: Computer Vision and Image Understanding. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, T et al. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, v. No 2017, p. 27-37, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cviu.2017.06.007. Acesso em: 18 set. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2017). Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, No 2017, 27-37. doi:10.1016/j.cviu.2017.06.007
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 set. 18 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Artigo de periodico
Reduction strategies for hierarchical multi-label classification in protein function prediction (2016)
Cerri, Ricardo; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Jin, Yaochu
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo et al. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, v. 17, p. 1-24, 2016Tradução . . Disponível em: https://doi.org/10.1186/s12859-016-1232-1. Acesso em: 18 set. 2024.
APA
Cerri, R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Jin, Y. (2016). Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, 17, 1-24. doi:10.1186/s12859-016-1232-1
NLM
Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 set. 18 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
Vancouver
Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 set. 18 ] Available from: https://doi.org/10.1186/s12859-016-1232-1

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