Veja nesta página os trabalhos dos últimos anos (2019-atual) dos membros do CEERMA publicados em congressos. Trabalhos anteriores podem ser encontrados no currículo Lattes de cada um, cujo endereço pode ser acessado em Membros e Egressos.
Trabalhos completos publicados em anais de congressos
MAIOR, C. B. S.; MENEZES, EDUARDO JOSE NOVAES ; LINS, ISIS D. ; SANTANA, J. M. M. ; MOURA, M. C. ; AZEVEDO, RAFAEL VALENÇA ; DA SILVA JUNIOR, MANOEL FELICIANO ; MAGALHAES, M. V. C. . Physics-based Accelerated RDT Testing for High Reliable Equipment. In: 31 European Safety and Reliability Conference, 2021, Angers. e-proceedings of the 31st European Safety and Reliability Conference (ESREL2021), 2021.
RAMOS, P. M. S. ; MAIOR, C. B. S. ; MOURA, MÁRCIO C. ; LINS, ISIS D. . Evaluating Electroencephalogram Channels using Machine Learning Models for Drowsiness Detection. In: 31 European Safety and Reliability Conference, 2021, Angers. e-proceedings of the 31st European Safety and Reliability Conference (ESREL2021), 2021.
GUIMARAES, M.S.; ARAUJO, H.H.G.; LUCAS, T.C.; MOURA, M.C.; LINS, I.D.; VILELA, R.F.T. An NLP and Text Mining-based approach to categorize occupational accidents. In: ESREL 2020 PSAM 15, 2020, Venice, Italy. E-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), 2020. p. 1282-1289.
GUIMARAES, M.S.; LINS, I.D.; MOURA, M.C.; DUARTE, H.O. Application of data-based prediction methods in newsvendor problems subject to purchase price uncertainty. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, Canberra. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020. p. 2640-2646, doi: 10.1109/SSCI47803.2020.9308495.
LUCAS, T.; ARAUJO, H.; GUIMARAES, M.; LINS, I.D.; MOURA, M.C. Uma abordagem biobjetivo para definir rotas de escoamento de minério de ferro. In: LII Simpósio Brasileiro de Pesquisa Operacional, 2020, João Pessoa, PB. Anais do LII Simpósio Brasileiro de Pesquisa Operacional, 2020.
MACEDO, J.; AICHELE, D.; MOURA, M.C.; LINS, I. A text mining and NLP approach for identifying potential consequences of accidents in an oil refinery. In: ESREL 2020 PSAM 15, 2020, Venice, Italy. E-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), 2020. p. 1269-1275.
MAIOR, C.B.S.; SANTANA, J.M.M.; MOURA, M.C.; LINS, I.D. Automated classification of injury leave based on accident description and natural language processing. In: ESREL 2020 PSAM 15, 2020, Venice, Italy. E-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), 2020. p. 1276-1281.
NEGREIROS, A.C.S.V.; MAIOR, C.B.S.; LINS, I.D.; SOARES, P.R.; MOURA, M.J.C. Using Machine Learning Models to Detect Oil Spills. In: ESREL 2020 PSAM 15, 2020, Venice, Italy. E-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), 2020. p. 2397-2403.
PADILHA, G.R.N.A.B.; NASCIMENTO, L.M.; MOURA, M.J.C. Apresentação de um modelo de gestão para centrais híbridas de distribuição. In: XL ENCONTRO NACIONAL DE ENGENHARIA DE PRODUÇÃO, 2020, Foz do Iguaçu, Paraná. Anais do XL Enegep, 2020.
PADILHA, G.R.N.A.B.; NASCIMENTO, L.M.; MOURA, M.J.C. Modelo De Simulação Para Centrais Híbridas De Distribuição Na Logística Do Varejo. In: LII Simpóso Brasileiro de Pesquisa Operacional, 2020, João Pessoa. Anais do LII SBPO, 2020.
SANTANA, J.M.M.; SILVA JUNIOR, M.F.; MARTINS, D.E.A.; AZEVEDO, R.; MAIOR, C.B.S.; MENEZES, E.J.N.; MOURA, M.C.; LINS, I.D. Technical assurance in new technology development projects: a reliability-based approach. In: Rio Oil and Gas, 2020, Rio de Janeiro, RJ. Anais do ROG 2020, 2020.
SANTANA, J.M.M.; SILVA JUNIOR, M.F.; MARTINS, D.E.A.; MAIOR, C.B.S.; MENEZES, E.J.N.; LINS, I.D.; MOURA, M.C. Reliability estimation for interval control valve installed in subsea wells of brazilian pre-salt. In: Rio Oil and Gas, 2020, Rio de Janeiro, RJ. Anais do ROG 2020, 2020.
SIQUEIRA, P.G.S.C.; DUARTE, H.O.; MOURA, M.J.C.; SILVA, S.Q.P.; LARA, L.F.; SILVA, M.A.; ARAÚJO, M.C.; DROGUETT, E.L. Quantitative ecological risk assessment of oil spills near an island in the Atlantic. In: 5th International Conference on Maritime Technology and Engineering – MARTECH 2020, 2020, Lisboa, Portugal. Anais do 5th MARTECH, 2020.
ARAUJO, H.H.G.; MOURA, M.C.; MOURA, M.C.S. Interval prediction of remaining useful life via time series forecasting and maximum entropy bootstrap. In: Congresso da Associação Brasileira de Análise de Risco, Segurança de Processos e Confiabilidade – ABRISCO, 2019, Rio de Janeiro, RJ. Anais do Congresso ABRISCO 2019, 2019.
AZEVEDO, R.; CAMPOS, T. A multiobjective approach for sustainable and resilient operations network design in supply chain. In: Congresso da Associação Brasileira de Análise de Risco, Segurança de Processos e Confiabilidade – ABRISCO, 2019, Rio de Janeiro, RJ. Anais do Congresso ABRISCO 2019, 2019.
CUNHA, B.S.; MAIOR, C.S.; NEGREIROS, A.C.; MOURA, M.; LINS, I.D. Crack detection methods based on computer vision techniques. In: Congresso da Associação Brasileira de Análise de Risco, Segurança de Processos e Confiabilidade – ABRISCO, 2019, Rio de Janeiro, RJ. Anais do Congresso ABRISCO 2019, 2019.
CUNHA, B.S.; SANTIAGO, R.L.V.; DOS SANTOS, M.C.M.; MOURA, M.C.; LINS, I.D. A simulation-based model for series-parallel priority queuing systems. In: 29th ESREL, 2019, Hannover. Proceedings of the 29th ESREL, 2019.
CUNHA, B.S.; SANTOS, M.C.M.; VELÔZO, R.; MOURA, M.C.; LINS, I.D. Generalized renewal process parameters estimation via maximum likellihood and genetic algorithm. In: LI Simpósio Brasileiro de Pesquisa Operacional (SBPO), 2019, Limeira, SP. Anais do LI SBPO, 2019.
GUIMARAES, M.S.; LINS, I.D. Artificial intelligence applications in supply chain risk assessment. In: Congresso da Associação Brasileira de Análise de Risco, Segurança de Processos e Confiabilidade – ABRISCO, 2019, Rio de Janeiro, RJ. Anais do Congresso ABRISCO 2019, 2019.
MAIOR, C.B.S.; SANTOS, M.C.M. ; SANTANA, J.M.M.; NEGREIROS, A.C.S.V.; MOURA, M.C.; LINS, I.D.; DROGUETT, E.L. Convolutional neural network for remaining useful life prediction based on vibration signal. In: 29th ESREL, 2019, Hannover. Proceedings of the 29th ESREL, 2019.
RAUPP, L.S.; MELO, L.D.F.; MELO, D.I.C.; MOURA, M.C. Proposição De Melhorias Em Empresa De Manufatura Através De Simulação Pelo Software Flexsim. In: XXXIX ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO, 2019, Santos, São Paulo. Anais do XXXIX ENEGEP, 2019.
SANTANA, J.M.M.; SANTIAGO, R.L.V. ; LINS, I.D.; MOURA, M.C.; DROGUETT, E.L. A principal-agent approach for designing maintenance service contracts. In: 29th ESREL, 2019, Hannover. Proceedings of the 29th ESREL, 2019.
SANTIAGO, R.L.V.; LINS, I.D.; MOURA, M.C.; ARAUJO, H.H.G. Design of maintenance service contracts via principal-agent models. In: Congresso da Associação Brasileira de Análise de Risco, Segurança de Processos e Confiabilidade – ABRISCO, 2019, Rio de Janeiro, RJ. Anais do Congresso ABRISCO 2019, 2019.
SILVA, A.A.; XAVIER, A.S.; MOURA, M.C. Previsão De Rodadas Do Campeonato Brasileiro 2018 Utilizando Cadeias De Markov. In: LI Simpósio Brasileiro de Pesquisa Operacional (SBPO), 2019, Limeira, SP. Anais do LI SBPO, 2019.
SOARES, P.R.F.T.; LINS, I.D.; MOURA, M.C.; MAIOR, C.S.; DROGUETT, E.A.L. Virtual reality to improve the emergency team preparation in an oil refinery. In: 29th ESREL, 2019, Hannover. Proceedings of the 29th ESREL, 2019.
XAVIER, A.S.; SILVA, A.A.; MOURA, M.C. Simulação Computacional Para Previsão Do Número De Caixas Operacionais Em Um Supermercado. In: LI Simpósio Brasileiro de Pesquisa Operacional (SBPO), 2019, Limeira, SP. Anais do LI SBPO, 2019.
Resumos publicados em anais de congressos
HERNANDEZ, F.; DIMOUNE, M.; BIROL, F.; LEGER, F.; ARAUJO, M. New insight of the West Tropical Atlantic Circulation based on 25 years of satellite altimetry, PIRATA data and GLORYS ocean reanalysis (EGU21-12222). In: EGU General Assembly 2021, 2021, Viena, Áustria. Annals of the EGU General Assembly 2021. Viena, Áustria: EGU, 2021.
HOUNSOU-GBO, G.A.; SERVAIN, J.; VASCONCELOS JUNIOR, F.; MARTINS, E.; ARAUJO, M. South Atlantic Variability and Connections with ENSO. In: WCRP-CLIVAR Workshop on Climate Interactions among the Tropical Basins, 2021. Abstracts of the WCRP-CLIVAR Workshop on Climate Interactions among the Tropical Basins. New York: WCRP-CLIVAR, 2021.
BERTRAND, A.; FREDOU, F.L.; ARAÚJO, M. TRIATLAS activities in Northeast Brazil, synthesis of current achievements and next steps. In: TRIATLAS General Assembly 2020, 2020, Bergen, Norway (Remote). Annals of the TRIATLAS General Assembly 2020. Beregen, Norway: TRIATLAS, 2020.
CAPUANO, T.A.; SILVA, M.A.; ARAUJO, M. Alterations in the thermo-haline structure and hydrodynamical circulation within the deltaic regions and continental platforms adjacent to the San Francisco and Parnaiba rivers (NE Brazil) due to the effects of global climate changes (EGU2020-356). In: EGU General Assembly 2020, 2020, Vienna, AU.
DIMOUNE, M.; ARAÚJO, M.; HERNANDEZ, F. Variabilities of North Equatorial Counter Current in the tropical Atlantic Ocean from 15 years of ADCP observations and GLORYS12V1 reanalysis. In: TRIATLAS General Assembly 2020, 2020, Bergen, Norway (Remote). Annals of the TRIATLAS General Assembly 2020. Bergen, Norway: TRIATLAS, 2020.
FOLTZ, G.; HUMMELS, R.; DENGLER, M.; PEREZ, R.; ARAUJO, M. Vertical turbulent cooling of the mixed layer in the Atlantic ITCZ and trade wind regions (PS14B-2844). In: Ocean Sciences Meeting 2020, 2020, San Diego, CA. Ocean Sciences Meeting 2020. San Diego, CA: AGU, 2020.
HERNANDEZ, F.; VARONA, H.L.; HOUNSOU-GBO, A.; ARAÚJO, M. Severe rainfall in North East Brazil in 2019 related to Tropical Atlantic Anomalous heat content. In: PIRATA-24/TAV Meeting, 2020, Miami, EUA (Remote). PIRATA-24/TAV Meeting. Miami, EUA: NOAA, 2020.
HERNANDEZ, F.; VARONA, H.L.; HOUNSOU-GBO, G.A.; ARAÚJO, M. Severe Rainfall in North East Brazil in 2019 related to Tropical Atlantic Anomalous Heat Content. In: TRIATLAS General Assembly 2020, 2020, Bergen, Norway (Remote). Annals of the TRIATLAS General Assembly 2020. Bergen, Norway: TRIATLAS, 2020.
HOUNSOU-GBO, A.; SERVAIN, J.; VASCONCELOS JUNIOR, F.C.; MARTINS, E.S.; ARAÚJO, M. Influences of Atlantic equatorial modes on ENSO: Differences, Similarities, and Implications. In: PIRATA-24/TAV Meeting, 2020, Miami, EUA (Remote). PIRATA-24/TAV Meeting. Miami, EUA: NOAA, 2020.
HOUNSOU-GBO, G.A.; SERVAIN, J.; VASCONCELOS JUNIOR, F.C.; MARTINS, E.; ARAÚJO, M. Summer and Winter Atlantic Niños: Connections with ENSO and Implications. In: TRIATLAS General Assembly 2020, 2020, Bergen, Norway (Remote). Annals of the TRIATLAS General Assembly 2020. Bergen, Norway: TRIATLAS, 2020.
MAIOR, C.B.S.; MOURA, M.J.C.; SANTANA, J.M.M.; LINS, I.D. Real-Time Classification For Autonomous Drowsiness Detection Using Eye Aspect Ratio. In: Encontro de Pesquisa e PósGraduação em Engenharia de Produção, 2020. Anais do V EPPGEP 2020, 2020.
CUNHA, B.S.; SOUTO MAIOR, C.B.; NEGREIROS, A.C.S.V.; MOURA, M.C.; LINS, I.D. Crack detection method based on computer vision techniques. In: Encontro de Pesquisa e Pós-Graduação em Engenharia de Produção – EPPGEP, 2019, Porto Alegre, RS. Anais do EPPGEP, 2019.
HERNANDEZ, F.; ARAUJO, M.; BOURLES, B.; BRANDT, P.; COTRIM, L.C.; DANDIN, P.; FOLTZ, G.; GANACHAUD, A.; GIORDANNI, H.; LEGER, D.; MCPHADEN, M.; PATRICOLA, P.; RODRIGUES, R.R.; SUTTON, A.; TROTTE-DUHA, J.R. PIRATA: The evolving backbone of the Tropical Atlantic Observing System. In: OceanObs’19, 2019, Honolulu, HI. Abstracts OO19. Honolulu, USA, 2019.
HUMMELS, R.; BRANDT, P.; HERRFORD, J.; DENGLER, M.; ARAUJO, M.; TCHIPALANGA, P. Observing the Boundary Currents and AMOC at 11°S. In: OceanObs- 19, 2019, Honolulu. Abstracts OO19. Honolulu, USA, 2019.
MACEDO, J.B.; MOURA, M.J.C.; LINS, I.D.; DROGUETT, E.A.L.; ZIO, E. Automated preliminary hazard analysis of oil refineries by using support vector machines. In: Encontro de Pesquisa e Pós-Graduação em Engenharia de Produção – EPPGEP, 2019, Porto Alegre, RS. Anais do EPPGEP, 2019.
ROSENBLUTH, R.; LINS, I.D. Metodologia para gestão, renovação e análise de emissões de viaturas: estudo de caso na polícia federal. In: LI Simpósio Brasileiro de Pesquisa Operacional, 2019, Limeira, SP. Anais do LI Simpósio Brasileiro de Pesquisa Operacional, 2019.
SOUTO MAIOR, C.B.; LINS, I.D.; MOURA, M.C.; CINTRA, N. A software for in-line real-time water activity prediction. In: Encontro de Pesquisa e Pós-Graduação em Engenharia de Produção – EPPGEP, 2019, Porto Alegre, RS. Anais do EPPGEP, 2019.
Data da última atualização: 25/03/2021.