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Artigo de periodico
A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning † (2020)
Kupssinskü, Lucas Silveira ; Guimarães, Tainá Thomassim ; Souza, Eniuce Menezes de ; Zanotta, Daniel C. ; Veronez, Maurício Roberto ; Gonzaga Junior, Luiz ; Mauad, Frederico Fábio
Source: Sensors. Unidade: EESC
Subjects: QUALIDADE DA ÁGUA, APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO, CLOROFILA
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ABNT
KUPSSINSKÜ, Lucas Silveira et al. A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning †. Sensors, v. 20, n. 7, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20072125. Acesso em: 25 dez. 2024.
APA
Kupssinskü, L. S., Guimarães, T. T., Souza, E. M. de, Zanotta, D. C., Veronez, M. R., Gonzaga Junior, L., & Mauad, F. F. (2020). A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning †. Sensors, 20( 7). doi:10.3390/s20072125
NLM
Kupssinskü LS, Guimarães TT, Souza EM de, Zanotta DC, Veronez MR, Gonzaga Junior L, Mauad FF. A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning † [Internet]. Sensors. 2020 ; 20( 7):[citado 2024 dez. 25 ] Available from: https://doi.org/10.3390/s20072125
Vancouver
Kupssinskü LS, Guimarães TT, Souza EM de, Zanotta DC, Veronez MR, Gonzaga Junior L, Mauad FF. A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning † [Internet]. Sensors. 2020 ; 20( 7):[citado 2024 dez. 25 ] Available from: https://doi.org/10.3390/s20072125
Artigo de periodico
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves (2020)
Louzada, Francisco ; Cuminato, José Alberto ; Hernandez Rodriguez, Oscar Mauricio ; Tomazella, Vera Lucia Damasceno ; Milani, Eder Angelo ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz ; Bochio, Gustavo; Perissini, Ivan Carlos ; Gonzatto Junior, Oilson Alberto ; Mota, Alex Leal ; Alegria, Luis Felipe Acuña; Colombo, Danilo ; Oliveira, Paulo Guilherme Oliveira de; Santos, Hugo Francisco Lisboa; Magalhães, Marcus Vinicius de Campos
Source: IEEE Access. Unidades: ICMC, EESC, INTER: ICMC -UFSCAR
Subjects: RISCO, POÇOS, PETRÓLEO, INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, MECÂNICA DOS FLUÍDOS, PROSPECÇÃO DO PETRÓLEO
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ABNT
LOUZADA, Francisco et al. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. IEEE Access, v. 8, p. 219757-219774, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3040525. Acesso em: 25 dez. 2024.
APA
Louzada, F., Cuminato, J. A., Hernandez Rodriguez, O. M., Tomazella, V. L. D., Milani, E. A., Ferreira, P. H., et al. (2020). Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. IEEE Access, 8, 219757-219774. doi:10.1109/ACCESS.2020.3040525
NLM
Louzada F, Cuminato JA, Hernandez Rodriguez OM, Tomazella VLD, Milani EA, Ferreira PH, Ramos PL, Bochio G, Perissini IC, Gonzatto Junior OA, Mota AL, Alegria LFA, Colombo D, Oliveira PGO de, Santos HFL, Magalhães MV de C. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves [Internet]. IEEE Access. 2020 ; 8 219757-219774.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525
Vancouver
Louzada F, Cuminato JA, Hernandez Rodriguez OM, Tomazella VLD, Milani EA, Ferreira PH, Ramos PL, Bochio G, Perissini IC, Gonzatto Junior OA, Mota AL, Alegria LFA, Colombo D, Oliveira PGO de, Santos HFL, Magalhães MV de C. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves [Internet]. IEEE Access. 2020 ; 8 219757-219774.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525
Artigo de periodico
Empirical random kick model and casing reliability (2020)
Beck, André Teófilo ; Cecilio, Diogo Lira; Gomes, Wellison José de Santana; Tessari, Rodolfo Krul; Jacinto, Carlos Magno Couto
Source: SPE Drilling & Completion. Unidade: EESC
Subjects: POÇOS, INTELIGÊNCIA ARTIFICIAL, REVESTIMENTOS, ESTRUTURAS
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ABNT
BECK, André Teófilo et al. Empirical random kick model and casing reliability. SPE Drilling & Completion, v. 35, n. 4, p. 644-654, 2020Tradução . . Disponível em: https://doi.org/10.2118/201200-PA. Acesso em: 25 dez. 2024.
APA
Beck, A. T., Cecilio, D. L., Gomes, W. J. de S., Tessari, R. K., & Jacinto, C. M. C. (2020). Empirical random kick model and casing reliability. SPE Drilling & Completion, 35( 4), 644-654. doi:10.2118/201200-PA
NLM
Beck AT, Cecilio DL, Gomes WJ de S, Tessari RK, Jacinto CMC. Empirical random kick model and casing reliability [Internet]. SPE Drilling & Completion. 2020 ; 35( 4): 644-654.[citado 2024 dez. 25 ] Available from: https://doi.org/10.2118/201200-PA
Vancouver
Beck AT, Cecilio DL, Gomes WJ de S, Tessari RK, Jacinto CMC. Empirical random kick model and casing reliability [Internet]. SPE Drilling & Completion. 2020 ; 35( 4): 644-654.[citado 2024 dez. 25 ] Available from: https://doi.org/10.2118/201200-PA
Artigo de periodico
Enhancing the solar water splitting activity of TiO2 nanotube-array photoanode by surface coating with La-doped SrTiO3 (2020)
Lucas, Thalles Thadeu Assunção; Melo Junior, Mauricio Alves de; Freitas, André L. M.; Souza, Flavio Leandro; Gonçalves, Renato Vitalino
Source: Solar Energy Materials and Solar Cells. Unidades: IFSC, EESC
Subjects: ENERGIA SOLAR, FOTOCATÁLISE
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ABNT
LUCAS, Thalles Thadeu Assunção et al. Enhancing the solar water splitting activity of TiO2 nanotube-array photoanode by surface coating with La-doped SrTiO3. Solar Energy Materials and Solar Cells, v. 208, p. 110428-1-110428-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.solmat.2020.110428. Acesso em: 25 dez. 2024.
APA
Lucas, T. T. A., Melo Junior, M. A. de, Freitas, A. L. M., Souza, F. L., & Gonçalves, R. V. (2020). Enhancing the solar water splitting activity of TiO2 nanotube-array photoanode by surface coating with La-doped SrTiO3. Solar Energy Materials and Solar Cells, 208, 110428-1-110428-9. doi:10.1016/j.solmat.2020.110428
NLM
Lucas TTA, Melo Junior MA de, Freitas ALM, Souza FL, Gonçalves RV. Enhancing the solar water splitting activity of TiO2 nanotube-array photoanode by surface coating with La-doped SrTiO3 [Internet]. Solar Energy Materials and Solar Cells. 2020 ; 208 110428-1-110428-9.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1016/j.solmat.2020.110428
Vancouver
Lucas TTA, Melo Junior MA de, Freitas ALM, Souza FL, Gonçalves RV. Enhancing the solar water splitting activity of TiO2 nanotube-array photoanode by surface coating with La-doped SrTiO3 [Internet]. Solar Energy Materials and Solar Cells. 2020 ; 208 110428-1-110428-9.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1016/j.solmat.2020.110428
Artigo de periodico
Pseudobrookite Fe2TiO5 nanoparticles loaded with earth-abundant nanosized NiO and Co3O4 cocatalysts for photocatalytic O2 evolution via solar water splitting (2020)
Melo Junior, Mauricio Alves de ; Centurion, Higor Andrade; Lucas, Thalles Thadeu Assunção; Muche, Dereck N. F.; Souza, Flavio L. ; Gonçalves, Renato Vitalino
Source: ACS Applied Nano Materials. Unidades: IFSC, EESC
Subjects: FOTOCATÁLISE, ENERGIA SOLAR
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ABNT
MELO JUNIOR, Mauricio Alves de et al. Pseudobrookite Fe2TiO5 nanoparticles loaded with earth-abundant nanosized NiO and Co3O4 cocatalysts for photocatalytic O2 evolution via solar water splitting. ACS Applied Nano Materials, v. 3, n. 9, p. 9303-9317, 2020Tradução . . Disponível em: https://doi.org/10.1021/acsanm.0c01957. Acesso em: 25 dez. 2024.
APA
Melo Junior, M. A. de, Centurion, H. A., Lucas, T. T. A., Muche, D. N. F., Souza, F. L., & Gonçalves, R. V. (2020). Pseudobrookite Fe2TiO5 nanoparticles loaded with earth-abundant nanosized NiO and Co3O4 cocatalysts for photocatalytic O2 evolution via solar water splitting. ACS Applied Nano Materials, 3( 9), 9303-9317. doi:10.1021/acsanm.0c01957
NLM
Melo Junior MA de, Centurion HA, Lucas TTA, Muche DNF, Souza FL, Gonçalves RV. Pseudobrookite Fe2TiO5 nanoparticles loaded with earth-abundant nanosized NiO and Co3O4 cocatalysts for photocatalytic O2 evolution via solar water splitting [Internet]. ACS Applied Nano Materials. 2020 ; 3( 9): 9303-9317.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1021/acsanm.0c01957
Vancouver
Melo Junior MA de, Centurion HA, Lucas TTA, Muche DNF, Souza FL, Gonçalves RV. Pseudobrookite Fe2TiO5 nanoparticles loaded with earth-abundant nanosized NiO and Co3O4 cocatalysts for photocatalytic O2 evolution via solar water splitting [Internet]. ACS Applied Nano Materials. 2020 ; 3( 9): 9303-9317.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1021/acsanm.0c01957
Trabalho de evento-anais periodico
Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks (2019)
Kupssinskü, Lucas Silveira ; Guimarães, Tainá Thomassim ; Freitas, Rafael de; Souza, Eniuce Menezes de ; Rossa, Pedro; Marques Junior, Ademir ; Veronez, Maurício Roberto ; Gonzaga Junior, Luiz ; Cazarin, Caroline Lessio; Mauad, Frederico Fábio
Source: Proceedings. Conference titles: International Conference on Sensing Technology (ICST). Unidade: EESC
Subjects: CLOROFILA, DEPOSIÇÃO DE SEDIMENTOS, REDES NEURAIS
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ABNT
KUPSSINSKÜ, Lucas Silveira et al. Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks. Proceedings. Sydney: IEEE. Disponível em: https://doi.org/10.1109/ICST46873.2019.9047682. Acesso em: 25 dez. 2024. , 2019
APA
Kupssinskü, L. S., Guimarães, T. T., Freitas, R. de, Souza, E. M. de, Rossa, P., Marques Junior, A., et al. (2019). Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks. Proceedings. Sydney: IEEE. doi:10.1109/ICST46873.2019.9047682
NLM
Kupssinskü LS, Guimarães TT, Freitas R de, Souza EM de, Rossa P, Marques Junior A, Veronez MR, Gonzaga Junior L, Cazarin CL, Mauad FF. Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks [Internet]. Proceedings. 2019 ;[citado 2024 dez. 25 ] Available from: https://doi.org/10.1109/ICST46873.2019.9047682
Vancouver
Kupssinskü LS, Guimarães TT, Freitas R de, Souza EM de, Rossa P, Marques Junior A, Veronez MR, Gonzaga Junior L, Cazarin CL, Mauad FF. Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks [Internet]. Proceedings. 2019 ;[citado 2024 dez. 25 ] Available from: https://doi.org/10.1109/ICST46873.2019.9047682
Artigo de periodico
A repairable system subjected to hierarchical competing risks: modeling and applications (2019)
Louzada, Francisco ; Cuminato, José Alberto ; Hernandez Rodriguez, Oscar Mauricio ; Tomazella, Vera Lucia Damasceno ; Ferreira, Paulo H; Ramos, Pedro Luiz ; Niaki, Seyed Reza Amini ; Gonzatto Junior, Oilson Alberto; Perissini, Ivan Carlos ; Alegria, Luis Felipe Acuña; Colombo, Danilo; Martins, David E. A; Santos, Hugo F. L
Source: IEEE Access. Unidades: ICMC, EESC, INTER: ICMC -UFSCAR
Subjects: PROCESSOS DE POISSON, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)
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ABNT
LOUZADA, Francisco et al. A repairable system subjected to hierarchical competing risks: modeling and applications. IEEE Access, v. 7, p. 171707-171723, 2019Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2019.2954767. Acesso em: 25 dez. 2024.
APA
Louzada, F., Cuminato, J. A., Hernandez Rodriguez, O. M., Tomazella, V. L. D., Ferreira, P. H., Ramos, P. L., et al. (2019). A repairable system subjected to hierarchical competing risks: modeling and applications. IEEE Access, 7, 171707-171723. doi:10.1109/ACCESS.2019.2954767
NLM
Louzada F, Cuminato JA, Hernandez Rodriguez OM, Tomazella VLD, Ferreira PH, Ramos PL, Niaki SRA, Gonzatto Junior OA, Perissini IC, Alegria LFA, Colombo D, Martins DEA, Santos HFL. A repairable system subjected to hierarchical competing risks: modeling and applications [Internet]. IEEE Access. 2019 ; 7 171707-171723.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1109/ACCESS.2019.2954767
Vancouver
Louzada F, Cuminato JA, Hernandez Rodriguez OM, Tomazella VLD, Ferreira PH, Ramos PL, Niaki SRA, Gonzatto Junior OA, Perissini IC, Alegria LFA, Colombo D, Martins DEA, Santos HFL. A repairable system subjected to hierarchical competing risks: modeling and applications [Internet]. IEEE Access. 2019 ; 7 171707-171723.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1109/ACCESS.2019.2954767
Artigo de periodico
Real time single TiO2 nanoparticle monitoring of the photodegradation of methylene blue (2019)
Oliveira, Guilherme H.; Galante, Miguel T.; Martins, Thalyta Tavares; Santos, Leonardo Felipe Lima Santos dos; Ely, Fernando; Longo, Claudia; Gonçalves, Renato Vitalino ; Muniz, Sérgio Ricardo ; Nome, René A.
Source: Solar Energy. Unidades: IFSC, EESC
Subjects: ESPECTROSCOPIA, ELETRODO, CÉLULAS SOLARES
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ABNT
OLIVEIRA, Guilherme H. et al. Real time single TiO2 nanoparticle monitoring of the photodegradation of methylene blue. Solar Energy, v. 190, p. 239-245, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.solener.2019.08.006. Acesso em: 25 dez. 2024.
APA
Oliveira, G. H., Galante, M. T., Martins, T. T., Santos, L. F. L. S. dos, Ely, F., Longo, C., et al. (2019). Real time single TiO2 nanoparticle monitoring of the photodegradation of methylene blue. Solar Energy, 190, 239-245. doi:10.1016/j.solener.2019.08.006
NLM
Oliveira GH, Galante MT, Martins TT, Santos LFLS dos, Ely F, Longo C, Gonçalves RV, Muniz SR, Nome RA. Real time single TiO2 nanoparticle monitoring of the photodegradation of methylene blue [Internet]. Solar Energy. 2019 ; 190 239-245.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1016/j.solener.2019.08.006
Vancouver
Oliveira GH, Galante MT, Martins TT, Santos LFLS dos, Ely F, Longo C, Gonçalves RV, Muniz SR, Nome RA. Real time single TiO2 nanoparticle monitoring of the photodegradation of methylene blue [Internet]. Solar Energy. 2019 ; 190 239-245.[citado 2024 dez. 25 ] Available from: https://doi.org/10.1016/j.solener.2019.08.006

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