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Trabalho de evento
Improving U-Net with attention mechanism for medical image segmentation applications (2025)
Honorato, Eduardo Sperle ; Uchida, Mariana Aya Suzuki ; Traina, Agma Juci Machado ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, DIAGNÓSTICO POR IMAGEM
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ABNT
HONORATO, Eduardo Sperle et al. Improving U-Net with attention mechanism for medical image segmentation applications. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00060. Acesso em: 09 jul. 2025.
APA
Honorato, E. S., Uchida, M. A. S., Traina, A. J. M., & Wolf, D. F. (2025). Improving U-Net with attention mechanism for medical image segmentation applications. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00060
NLM
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Vancouver
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Parte de monografia/livro-apres/pref/posf
One of the many successes of the singularity theory... [Prefácio] (2025)
Tari, Farid ; Salarinoghabi, Mostafa ; Hasegawa, Masaru
Source: Geometric deformations of discriminants and apparent contours. Unidade: ICMC
Subjects: DEFORMAÇÕES DE SINGULARIDADES, TEORIA DAS SINGULARIDADES, GEOMETRIA DIFERENCIAL, VISÃO COMPUTACIONAL
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ABNT
TARI, Farid e SALARINOGHABI, Mostafa e HASEGAWA, Masaru. One of the many successes of the singularity theory.. [Prefácio]. Geometric deformations of discriminants and apparent contours. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-87016-3. Acesso em: 09 jul. 2025. , 2025
APA
Tari, F., Salarinoghabi, M., & Hasegawa, M. (2025). One of the many successes of the singularity theory.. [Prefácio]. Geometric deformations of discriminants and apparent contours. Cham: Springer. doi:10.1007/978-3-031-87016-3
NLM
Tari F, Salarinoghabi M, Hasegawa M. One of the many successes of the singularity theory.. [Prefácio] [Internet]. Geometric deformations of discriminants and apparent contours. 2025 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-87016-3
Vancouver
Tari F, Salarinoghabi M, Hasegawa M. One of the many successes of the singularity theory.. [Prefácio] [Internet]. Geometric deformations of discriminants and apparent contours. 2025 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-87016-3
Artigo de periodico
Temporal consistency as pretext task in unsupervised domain adaptation for semantic segmentation (2025)
Barbosa, Felipe ; Osório, Fernando Santos
Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
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ABNT
BARBOSA, Felipe e OSÓRIO, Fernando Santos. Temporal consistency as pretext task in unsupervised domain adaptation for semantic segmentation. v. 111, p. 1-15, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10846-025-02220-9. Acesso em: 09 jul. 2025.
APA
Barbosa, F., & Osório, F. S. (2025). Temporal consistency as pretext task in unsupervised domain adaptation for semantic segmentation, 111, 1-15. doi:10.1007/s10846-025-02220-9
NLM
Barbosa F, Osório FS. Temporal consistency as pretext task in unsupervised domain adaptation for semantic segmentation [Internet]. 2025 ; 111 1-15.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/s10846-025-02220-9
Vancouver
Barbosa F, Osório FS. Temporal consistency as pretext task in unsupervised domain adaptation for semantic segmentation [Internet]. 2025 ; 111 1-15.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/s10846-025-02220-9
Artigo de periodico
Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels (2025)
Souza, André Moreira ; Kobayashi, Livia Lissa ; Andrietta, Lucas Tassoni ; Garbossa, Cesar Augusto Pospissil ; Ventura, Ricardo Vieira ; Sousa, Elaine Parros Machado de
Source: Applied Intelligence. Unidades: FMVZ, ICMC
Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, PROCESSAMENTO DE SINAIS ACÚSTICOS, REDES NEURAIS, SUINOCULTURA, BEM-ESTAR DO ANIMAL
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ABNT
SOUZA, André Moreira et al. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. Applied Intelligence, v. 55, n. 7, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10489-025-06555-6. Acesso em: 09 jul. 2025.
APA
Souza, A. M., Kobayashi, L. L., Andrietta, L. T., Garbossa, C. A. P., Ventura, R. V., & Sousa, E. P. M. de. (2025). Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. Applied Intelligence, 55( 7), 1-12. doi:10.1007/s10489-025-06555-6
NLM
Souza AM, Kobayashi LL, Andrietta LT, Garbossa CAP, Ventura RV, Sousa EPM de. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels [Internet]. Applied Intelligence. 2025 ; 55( 7): 1-12.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/s10489-025-06555-6
Vancouver
Souza AM, Kobayashi LL, Andrietta LT, Garbossa CAP, Ventura RV, Sousa EPM de. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels [Internet]. Applied Intelligence. 2025 ; 55( 7): 1-12.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/s10489-025-06555-6
Monografia/livro
Geometric deformations of discriminants and apparent contours (2025)
Tari, Farid ; Salarinoghabi, Mostafa ; Hasegawa, Masaru
Unidade: ICMC
Subjects: DEFORMAÇÕES DE SINGULARIDADES, TEORIA DAS SINGULARIDADES, GEOMETRIA DIFERENCIAL, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TARI, Farid e SALARINOGHABI, Mostafa e HASEGAWA, Masaru. Geometric deformations of discriminants and apparent contours. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-87016-3. Acesso em: 09 jul. 2025. , 2025
APA
Tari, F., Salarinoghabi, M., & Hasegawa, M. (2025). Geometric deformations of discriminants and apparent contours. Cham: Springer. doi:10.1007/978-3-031-87016-3
NLM
Tari F, Salarinoghabi M, Hasegawa M. Geometric deformations of discriminants and apparent contours [Internet]. 2025 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-87016-3
Vancouver
Tari F, Salarinoghabi M, Hasegawa M. Geometric deformations of discriminants and apparent contours [Internet]. 2025 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-87016-3
Trabalho de evento-anais periodico
Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification (2025)
Freire, Daniela Lopes ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Silva, Ricardo Dutra da ; Perea, Juan Fernando Rojas
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, AERONAVES NÃO TRIPULADAS, LINHAS AÉREAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA
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ABNT
FREIRE, Daniela Lopes et al. Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-73500-4_16. Acesso em: 09 jul. 2025. , 2025
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Peterlevitz, A. J., Chinelatto, M. A., Silva, R. D. da, & Perea, J. F. R. (2025). Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-73500-4_16
NLM
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 14968 184-196.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-73500-4_16
Vancouver
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 14968 184-196.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-73500-4_16
Artigo de periodico
PATSA-BIL: pipeline for automated texture and structure analysis of borehole image logs (2025)
Souza, André Moreira ; Cruz, Matheus Altomare ; Braga, Paola M. C; Piva, Rodrigo B ; Dias, Rodrigo A. C ; Siqueira, Paulo R; Trevizan, Willian A; Jesus, Candida M. de; Bazzarella, Camilla ; Monteiro, Rodrigo Salvador ; Bernardini, Flávia Cristina ; Fernandes, Leandro Augusto Frata ; Sousa, Elaine Parros Machado de ; Oliveira, Daniel de ; Bedo, Marcos Vinicius Naves
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PETROLOGIA ESTRUTURAL
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ABNT
SOUZA, André Moreira et al. PATSA-BIL: pipeline for automated texture and structure analysis of borehole image logs. Expert Systems with Applications, v. 278, p. 1-27, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2025.127345. Acesso em: 09 jul. 2025.
APA
Souza, A. M., Cruz, M. A., Braga, P. M. C., Piva, R. B., Dias, R. A. C., Siqueira, P. R., et al. (2025). PATSA-BIL: pipeline for automated texture and structure analysis of borehole image logs. Expert Systems with Applications, 278, 1-27. doi:10.1016/j.eswa.2025.127345
NLM
Souza AM, Cruz MA, Braga PMC, Piva RB, Dias RAC, Siqueira PR, Trevizan WA, Jesus CM de, Bazzarella C, Monteiro RS, Bernardini FC, Fernandes LAF, Sousa EPM de, Oliveira D de, Bedo MVN. PATSA-BIL: pipeline for automated texture and structure analysis of borehole image logs [Internet]. Expert Systems with Applications. 2025 ; 278 1-27.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1016/j.eswa.2025.127345
Vancouver
Souza AM, Cruz MA, Braga PMC, Piva RB, Dias RAC, Siqueira PR, Trevizan WA, Jesus CM de, Bazzarella C, Monteiro RS, Bernardini FC, Fernandes LAF, Sousa EPM de, Oliveira D de, Bedo MVN. PATSA-BIL: pipeline for automated texture and structure analysis of borehole image logs [Internet]. Expert Systems with Applications. 2025 ; 278 1-27.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1016/j.eswa.2025.127345
Trabalho de evento-anais periodico
A review on computer vision-based object and safe navigation zone identification for autonomous vehicles and advanced driver assistance systems (ADAS) (2025)
Pereira, Vitor Augusto da Rosa ; Berri, Rafael Alceste ; Osório, Fernando Santos
Source: Lecture Notes in Computer Science - LNCS. Conference titles: Computational Science and Its Applications - ICCSA. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, VEÍCULOS AUTÔNOMOS
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ABNT
PEREIRA, Vitor Augusto da Rosa e BERRI, Rafael Alceste e OSÓRIO, Fernando Santos. A review on computer vision-based object and safe navigation zone identification for autonomous vehicles and advanced driver assistance systems (ADAS). Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-96962-1_8. Acesso em: 09 jul. 2025. , 2025
APA
Pereira, V. A. da R., Berri, R. A., & Osório, F. S. (2025). A review on computer vision-based object and safe navigation zone identification for autonomous vehicles and advanced driver assistance systems (ADAS). Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-031-96962-1_8
NLM
Pereira VA da R, Berri RA, Osório FS. A review on computer vision-based object and safe navigation zone identification for autonomous vehicles and advanced driver assistance systems (ADAS) [Internet]. Lecture Notes in Computer Science - LNCS. 2025 ; 15649 114-131.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_8
Vancouver
Pereira VA da R, Berri RA, Osório FS. A review on computer vision-based object and safe navigation zone identification for autonomous vehicles and advanced driver assistance systems (ADAS) [Internet]. Lecture Notes in Computer Science - LNCS. 2025 ; 15649 114-131.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_8
Artigo de periodico
Automatic sign language to text translation using MediaPipe and transformer architectures (2025)
Maia, Wesley Ferreira ; Lopes, António Mendes ; David, Sérgio Adriani
Source: Neurocomputing. Unidades: FZEA, ICMC
Subjects: VISÃO COMPUTACIONAL, TRADUÇÃO AUTOMÁTICA, TECNOLOGIA ASSISTIVA, LÍNGUA BRASILEIRA DE SINAIS
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ABNT
MAIA, Wesley Ferreira e LOPES, António Mendes e DAVID, Sérgio Adriani. Automatic sign language to text translation using MediaPipe and transformer architectures. Neurocomputing, v. 642, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2025.130421. Acesso em: 09 jul. 2025.
APA
Maia, W. F., Lopes, A. M., & David, S. A. (2025). Automatic sign language to text translation using MediaPipe and transformer architectures. Neurocomputing, 642, 1-13. doi:10.1016/j.neucom.2025.130421
NLM
Maia WF, Lopes AM, David SA. Automatic sign language to text translation using MediaPipe and transformer architectures [Internet]. Neurocomputing. 2025 ; 642 1-13.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1016/j.neucom.2025.130421
Vancouver
Maia WF, Lopes AM, David SA. Automatic sign language to text translation using MediaPipe and transformer architectures [Internet]. Neurocomputing. 2025 ; 642 1-13.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1016/j.neucom.2025.130421
Trabalho de evento-anais periodico
A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection (2025)
Freire, Daniela Lopes ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Silva, Ricardo Dutra da ; Perea, Juan Fernando Rojas
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, LINHAS AÉREAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREIRE, Daniela Lopes et al. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-77738-7_31. Acesso em: 09 jul. 2025. , 2025
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Peterlevitz, A. J., Chinelatto, M. A., Silva, R. D. da, & Perea, J. F. R. (2025). A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-77738-7_31
NLM
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Vancouver
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Artigo de periodico
A deep learning workflow enhanced with optical flow fields for flood risk estimation (2024)
Ranieri, Caetano Mazzoni ; Souza, Thais Luiza Donega e ; Nishijima, Marislei ; Krishnamachari, Bhaskar ; Ueyama, Jó
Source: Applied Intelligence. Unidades: ICMC, IRI, EACH
Subjects: ENCHENTES URBANAS, APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, REDES NEURAIS
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ABNT
RANIERI, Caetano Mazzoni et al. A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, v. 54, p. 5536-5557, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10489-024-05466-2. Acesso em: 09 jul. 2025.
APA
Ranieri, C. M., Souza, T. L. D. e, Nishijima, M., Krishnamachari, B., & Ueyama, J. (2024). A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, 54, 5536-5557. doi:10.1007/s10489-024-05466-2
NLM
Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
Vancouver
Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
Tese (Doutorado)
Multi-Agent Interaction-Aware Trajectory Prediction based on Behavior Intention for Autonomous Vehicle in Urban Scenarios (2024)
Gomes, Iago Pachêco ; Wolf, Denis Fernando (Orientador)
Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, TRANSPORTE URBANO, IMPACTOS AMBIENTAIS, APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL
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ABNT
GOMES, Iago Pachêco. Multi-Agent Interaction-Aware Trajectory Prediction based on Behavior Intention for Autonomous Vehicle in Urban Scenarios. 2024. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02122024-095408/. Acesso em: 09 jul. 2025.
APA
Gomes, I. P. (2024). Multi-Agent Interaction-Aware Trajectory Prediction based on Behavior Intention for Autonomous Vehicle in Urban Scenarios (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02122024-095408/
NLM
Gomes IP. Multi-Agent Interaction-Aware Trajectory Prediction based on Behavior Intention for Autonomous Vehicle in Urban Scenarios [Internet]. 2024 ;[citado 2025 jul. 09 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02122024-095408/
Vancouver
Gomes IP. Multi-Agent Interaction-Aware Trajectory Prediction based on Behavior Intention for Autonomous Vehicle in Urban Scenarios [Internet]. 2024 ;[citado 2025 jul. 09 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02122024-095408/
Artigo de periodico
MEDAVET: traffic vehicle anomaly detection mechanism based on spatial and temporal structures in vehicle traffic (2024)
Reyna, Ana Rosalia Huaman ; Farfan, Alex Josue Florez ; Rocha Filho, Geraldo Pereira ; Sampaio, Sandra ; Grande, Robson Eduardo de ; Nakamura, Luis Hideo Vasconcelos ; Meneguette, Rodolfo Ipolito
Source: Journal of Internet Services and Applications. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS, RASTREAMENTO, FALHA
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ABNT
REYNA, Ana Rosalia Huaman et al. MEDAVET: traffic vehicle anomaly detection mechanism based on spatial and temporal structures in vehicle traffic. Journal of Internet Services and Applications, v. 15, n. 1, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.5753/jisa.2024.3809. Acesso em: 09 jul. 2025.
APA
Reyna, A. R. H., Farfan, A. J. F., Rocha Filho, G. P., Sampaio, S., Grande, R. E. de, Nakamura, L. H. V., & Meneguette, R. I. (2024). MEDAVET: traffic vehicle anomaly detection mechanism based on spatial and temporal structures in vehicle traffic. Journal of Internet Services and Applications, 15( 1), 1-14. doi:10.5753/jisa.2024.3809
NLM
Reyna ARH, Farfan AJF, Rocha Filho GP, Sampaio S, Grande RE de, Nakamura LHV, Meneguette RI. MEDAVET: traffic vehicle anomaly detection mechanism based on spatial and temporal structures in vehicle traffic [Internet]. Journal of Internet Services and Applications. 2024 ; 15( 1): 1-14.[citado 2025 jul. 09 ] Available from: https://doi.org/10.5753/jisa.2024.3809
Vancouver
Reyna ARH, Farfan AJF, Rocha Filho GP, Sampaio S, Grande RE de, Nakamura LHV, Meneguette RI. MEDAVET: traffic vehicle anomaly detection mechanism based on spatial and temporal structures in vehicle traffic [Internet]. Journal of Internet Services and Applications. 2024 ; 15( 1): 1-14.[citado 2025 jul. 09 ] Available from: https://doi.org/10.5753/jisa.2024.3809
Artigo de periodico
On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments (2024)
Alves, Caroline Lourenço ; Ciba, Manuel ; Toutain, Thaise Graziele Lima de ; Porto, Joel Augusto Moura ; Sena, Eduardo Pondé de ; Thielemann, Christiane ; Rodrigues, Francisco Aparecido
Source: Journal of Physics: Complexity. Unidades: ICMC, IFSC
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, TOPOLOGIA EM COMPUTAÇÃO, REDES NEURAIS, TEORIA DOS GRAFOS, CÓRTEX CEREBRAL (ANÁLISE), CÉREBRO (ANÁLISE;ESTUDO)
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ABNT
ALVES, Caroline Lourenço et al. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments. Journal of Physics: Complexity, v. 5, n. Ja 2024, p. 015002-1-015002-23, 2024Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad1c68. Acesso em: 09 jul. 2025.
APA
Alves, C. L., Ciba, M., Toutain, T. G. L. de, Porto, J. A. M., Sena, E. P. de, Thielemann, C., & Rodrigues, F. A. (2024). On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments. Journal of Physics: Complexity, 5( Ja 2024), 015002-1-015002-23. doi:10.1088/2632-072X/ad1c68
NLM
Alves CL, Ciba M, Toutain TGL de, Porto JAM, Sena EP de, Thielemann C, Rodrigues FA. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments [Internet]. Journal of Physics: Complexity. 2024 ; 5( Ja 2024): 015002-1-015002-23.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1088/2632-072X/ad1c68
Vancouver
Alves CL, Ciba M, Toutain TGL de, Porto JAM, Sena EP de, Thielemann C, Rodrigues FA. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments [Internet]. Journal of Physics: Complexity. 2024 ; 5( Ja 2024): 015002-1-015002-23.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1088/2632-072X/ad1c68
Parte de monografia/livro
Aplicações de estratégias básicas de busca em um ambiente real (2024)
Sanches, Felipe Padula; Romero, Roseli Aparecida Francelin
Source: Robótica educacional. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, ENSINO E APRENDIZAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANCHES, Felipe Padula e ROMERO, Roseli Aparecida Francelin. Aplicações de estratégias básicas de busca em um ambiente real. Robótica educacional. Tradução . São Paulo: Edusp, 2024. . . Acesso em: 09 jul. 2025.
APA
Sanches, F. P., & Romero, R. A. F. (2024). Aplicações de estratégias básicas de busca em um ambiente real. In Robótica educacional. São Paulo: Edusp.
NLM
Sanches FP, Romero RAF. Aplicações de estratégias básicas de busca em um ambiente real. In: Robótica educacional. São Paulo: Edusp; 2024. [citado 2025 jul. 09 ]
Vancouver
Sanches FP, Romero RAF. Aplicações de estratégias básicas de busca em um ambiente real. In: Robótica educacional. São Paulo: Edusp; 2024. [citado 2025 jul. 09 ]
Artigo de periodico
Evaluating YOLO architectures for detecting road killed endangered Brazilian animals (2024)
Ferrante, Gabriel Souto ; Nakamura, Luis Hideo Vasconcelos ; Sampaio, Sandra Coccuzzo ; Rocha Filho, Geraldo Pereira ; Meneguette, Rodolfo Ipolito
Source: Scientific Reports. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, ANIMAIS SELVAGENS, ATROPELAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRANTE, Gabriel Souto et al. Evaluating YOLO architectures for detecting road killed endangered Brazilian animals. Scientific Reports, v. 14, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1038/s41598-024-52054-y. Acesso em: 09 jul. 2025.
APA
Ferrante, G. S., Nakamura, L. H. V., Sampaio, S. C., Rocha Filho, G. P., & Meneguette, R. I. (2024). Evaluating YOLO architectures for detecting road killed endangered Brazilian animals. Scientific Reports, 14, 1-17. doi:10.1038/s41598-024-52054-y
NLM
Ferrante GS, Nakamura LHV, Sampaio SC, Rocha Filho GP, Meneguette RI. Evaluating YOLO architectures for detecting road killed endangered Brazilian animals [Internet]. Scientific Reports. 2024 ; 14 1-17.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1038/s41598-024-52054-y
Vancouver
Ferrante GS, Nakamura LHV, Sampaio SC, Rocha Filho GP, Meneguette RI. Evaluating YOLO architectures for detecting road killed endangered Brazilian animals [Internet]. Scientific Reports. 2024 ; 14 1-17.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1038/s41598-024-52054-y
Artigo de periodico
Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision (2024)
Matos, Saulo Neves ; Rocha, Arthur Lima Marques; Domingues Filho, Gabriel Montagni ; Ranieri, Caetano Mazzoni ; Garcia, Rodrigo Dutra ; Faria, Ana Clara de Oliveira; Medina, Maria Mercedes Gamboa ; Ueyama, Jó
Source: Transactions of the Institute of Measurement and Control. Unidades: EESC, ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, ENCHENTES URBANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Saulo Neves et al. Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision. Transactions of the Institute of Measurement and Control, 2024Tradução . . Disponível em: https://doi.org/10.1177/01423312241285952. Acesso em: 09 jul. 2025.
APA
Matos, S. N., Rocha, A. L. M., Domingues Filho, G. M., Ranieri, C. M., Garcia, R. D., Faria, A. C. de O., et al. (2024). Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision. Transactions of the Institute of Measurement and Control. doi:10.1177/01423312241285952
NLM
Matos SN, Rocha ALM, Domingues Filho GM, Ranieri CM, Garcia RD, Faria AC de O, Medina MMG, Ueyama J. Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision [Internet]. Transactions of the Institute of Measurement and Control. 2024 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1177/01423312241285952
Vancouver
Matos SN, Rocha ALM, Domingues Filho GM, Ranieri CM, Garcia RD, Faria AC de O, Medina MMG, Ueyama J. Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision [Internet]. Transactions of the Institute of Measurement and Control. 2024 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1177/01423312241285952
Artigo de periodico
Deep Learning and object detection for water level measurement using patterned visual markers (2024)
Domingues Filho, Gabriel Montagni ; Ranieri, Caetano Mazzoni ; Matos, Saulo Neves ; Meneguette, Rodolfo Ipolito ; Ueyama, Jó
Source: IEEE Latin America Transactions. Unidades: ICMC, EESC
Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, ENCHENTES URBANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DOMINGUES FILHO, Gabriel Montagni et al. Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, v. 22, n. 11, p. 892–898, 2024Tradução . . Disponível em: https://latamt.ieeer9.org/index.php/transactions/article/view/9046. Acesso em: 09 jul. 2025.
APA
Domingues Filho, G. M., Ranieri, C. M., Matos, S. N., Meneguette, R. I., & Ueyama, J. (2024). Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, 22( 11), 892–898. Recuperado de https://latamt.ieeer9.org/index.php/transactions/article/view/9046
NLM
Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2025 jul. 09 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
Vancouver
Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2025 jul. 09 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
Trabalho de evento
Efficient parameter mining and freezing for continual object detection (2024)
Menezes, Angelo Garangau ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENEZES, Angelo Garangau et al. Efficient parameter mining and freezing for continual object detection. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012362300003660. Acesso em: 09 jul. 2025.
APA
Menezes, A. G., Peterlevitz, A. J., Chinelatto, M. A., & Carvalho, A. C. P. de L. F. de. (2024). Efficient parameter mining and freezing for continual object detection. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012362300003660
NLM
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.5220/0012362300003660
Vancouver
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.5220/0012362300003660
Trabalho de evento
Sensor fusion of LiDAR and stereo camera for forest mapping (2024)
Souza Neto, Amador Marcelino de; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, MONITORAMENTO AMBIENTAL, FLORESTAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA NETO, Amador Marcelino de e ROMERO, Roseli Aparecida Francelin. Sensor fusion of LiDAR and stereo camera for forest mapping. 2024, Anais.. Danvers: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786470. Acesso em: 09 jul. 2025.
APA
Souza Neto, A. M. de, & Romero, R. A. F. (2024). Sensor fusion of LiDAR and stereo camera for forest mapping. In Proceedings. Danvers: IEEE. doi:10.1109/LARS64411.2024.10786470
NLM
Souza Neto AM de, Romero RAF. Sensor fusion of LiDAR and stereo camera for forest mapping [Internet]. Proceedings. 2024 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786470
Vancouver
Souza Neto AM de, Romero RAF. Sensor fusion of LiDAR and stereo camera for forest mapping [Internet]. Proceedings. 2024 ;[citado 2025 jul. 09 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786470

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