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COSTA, Fabrizzio Rodrigues e CARNEIRO, Cleyton de Carvalho e ULSEN, Carina. Predicting gold accessibility from mineralogical characterization using machine learning algorithms. Journal of Materials Research and Technology, v. 29, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2024.01.139. Acesso em: 07 set. 2024.
APA
Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2024). Predicting gold accessibility from mineralogical characterization using machine learning algorithms. Journal of Materials Research and Technology, 29, 10 . doi:10.1016/j.jmrt.2024.01.139
NLM
Costa FR, Carneiro C de C, Ulsen C. Predicting gold accessibility from mineralogical characterization using machine learning algorithms [Internet]. Journal of Materials Research and Technology. 2024 ;29 10 .[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
Vancouver
Costa FR, Carneiro C de C, Ulsen C. Predicting gold accessibility from mineralogical characterization using machine learning algorithms [Internet]. Journal of Materials Research and Technology. 2024 ;29 10 .[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
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NOVOTNY, Etelvino Henrique e GARCIA, Rodrigo Henrique dos Santos e AZEVÊDO, Eduardo Ribeiro de. Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification. Journal of Magnetic Resonance Open, v. 14-15, p. 100089-1-100089-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jmro.2022.100089. Acesso em: 07 set. 2024.
APA
Novotny, E. H., Garcia, R. H. dos S., & Azevêdo, E. R. de. (2023). Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification. Journal of Magnetic Resonance Open, 14-15, 100089-1-100089-9. doi:10.1016/j.jmro.2022.100089
NLM
Novotny EH, Garcia RH dos S, Azevêdo ER de. Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification [Internet]. Journal of Magnetic Resonance Open. 2023 ; 14-15 100089-1-100089-9.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.jmro.2022.100089
Vancouver
Novotny EH, Garcia RH dos S, Azevêdo ER de. Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification [Internet]. Journal of Magnetic Resonance Open. 2023 ; 14-15 100089-1-100089-9.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.jmro.2022.100089
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ACERO, Fabio et al. Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants. Astroparticle Physics, v. 150, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.astropartphys.2023.102850. Acesso em: 07 set. 2024.
APA
Acero, F., Catalani, F., Dal Pino, E. M. de G., Souza, V. de, Gonçalves, D. A. F., Silva, R. N. da, et al. (2023). Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants. Astroparticle Physics, 150. doi:10.1016/j.astropartphys.2023.102850
NLM
Acero F, Catalani F, Dal Pino EM de G, Souza V de, Gonçalves DAF, Silva RN da, Pereira LAS, Viana A. Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants [Internet]. Astroparticle Physics. 2023 ; 150[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.astropartphys.2023.102850
Vancouver
Acero F, Catalani F, Dal Pino EM de G, Souza V de, Gonçalves DAF, Silva RN da, Pereira LAS, Viana A. Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants [Internet]. Astroparticle Physics. 2023 ; 150[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.astropartphys.2023.102850
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AGUIAR, Erikson Júlio de et al. A blockchain-based protocol for tracking user access to shared medical imaging. Future Generation Computer Systems, v. 134 , p. 348-360, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.future.2022.04.017. Acesso em: 07 set. 2024.
APA
Aguiar, E. J. de, Santos, A. de J. dos, Meneguette, R. I., Grande, R. E. D., & Ueyama, J. (2022). A blockchain-based protocol for tracking user access to shared medical imaging. Future Generation Computer Systems, 134 , 348-360. doi:10.1016/j.future.2022.04.017
NLM
Aguiar EJ de, Santos A de J dos, Meneguette RI, Grande RED, Ueyama J. A blockchain-based protocol for tracking user access to shared medical imaging [Internet]. Future Generation Computer Systems. 2022 ; 134 348-360.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.future.2022.04.017
Vancouver
Aguiar EJ de, Santos A de J dos, Meneguette RI, Grande RED, Ueyama J. A blockchain-based protocol for tracking user access to shared medical imaging [Internet]. Future Generation Computer Systems. 2022 ; 134 348-360.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.future.2022.04.017
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ARAMBURO, Raúl Felipe Parra et al. Data science in social politics with particular emphasis on sentiment analysis. Procedia Computer Science, v. 214, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S1877050922019044/pdf?md5=c9ebd0ac13f547d55a36ac39942d85a5&pid=1-s2.0-S1877050922019044-main.pdf. Acesso em: 07 set. 2024.
APA
Aramburo, R. F. P., Moreira, M. Â. L., Fávero, L. P. L., Costa, I. P. de A., & Santos, M. dos. (2022). Data science in social politics with particular emphasis on sentiment analysis. Procedia Computer Science, 214. doi:10.1016/j.procs.2022.11.194
NLM
Aramburo RFP, Moreira MÂL, Fávero LPL, Costa IP de A, Santos M dos. Data science in social politics with particular emphasis on sentiment analysis [Internet]. Procedia Computer Science. 2022 ; 214[citado 2024 set. 07 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050922019044/pdf?md5=c9ebd0ac13f547d55a36ac39942d85a5&pid=1-s2.0-S1877050922019044-main.pdf
Vancouver
Aramburo RFP, Moreira MÂL, Fávero LPL, Costa IP de A, Santos M dos. Data science in social politics with particular emphasis on sentiment analysis [Internet]. Procedia Computer Science. 2022 ; 214[citado 2024 set. 07 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050922019044/pdf?md5=c9ebd0ac13f547d55a36ac39942d85a5&pid=1-s2.0-S1877050922019044-main.pdf
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LIMA, Erik Rodrigues de et al. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?. Astronomy and Computing, v. 38, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ascom.2021.100510. Acesso em: 07 set. 2024.
APA
Lima, E. R. de, Sodre Junior, L., Nakazono, L., Buzzo, M. L., Silva, C. Q. de A., & Herpich, F. R. (2022). Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? Astronomy and Computing, 38. doi:10.1016/j.ascom.2021.100510
NLM
Lima ER de, Sodre Junior L, Nakazono L, Buzzo ML, Silva CQ de A, Herpich FR. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? [Internet]. Astronomy and Computing. 2022 ; 38[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.ascom.2021.100510
Vancouver
Lima ER de, Sodre Junior L, Nakazono L, Buzzo ML, Silva CQ de A, Herpich FR. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? [Internet]. Astronomy and Computing. 2022 ; 38[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.ascom.2021.100510
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PRATAVIERA, Fábio et al. A novel generalized odd log-logistic Maxwell-based regression with application to microbiology. Applied Mathematical Modelling, v. 93 p. 148-164, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.apm.2020.12.003. Acesso em: 07 set. 2024.
APA
Prataviera, F., Silva, A. M. M., Cardoso, E. J. B. N., Cordeiro, G. M., & Ortega, E. M. M. (2021). A novel generalized odd log-logistic Maxwell-based regression with application to microbiology. Applied Mathematical Modelling, 93 p. 148-164. doi:10.1016/j.apm.2020.12.003
NLM
Prataviera F, Silva AMM, Cardoso EJBN, Cordeiro GM, Ortega EMM. A novel generalized odd log-logistic Maxwell-based regression with application to microbiology [Internet]. Applied Mathematical Modelling. 2021 ; 93 p. 148-164[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.apm.2020.12.003
Vancouver
Prataviera F, Silva AMM, Cardoso EJBN, Cordeiro GM, Ortega EMM. A novel generalized odd log-logistic Maxwell-based regression with application to microbiology [Internet]. Applied Mathematical Modelling. 2021 ; 93 p. 148-164[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.apm.2020.12.003
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VIDAL, Ignacio e CASTRO, Mário de. A bayesian analysis of the matching problem. Journal of Statistical Planning and Inference, v. 212, p. 194-200, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2020.10.002. Acesso em: 07 set. 2024.
APA
Vidal, I., & Castro, M. de. (2021). A bayesian analysis of the matching problem. Journal of Statistical Planning and Inference, 212, 194-200. doi:10.1016/j.jspi.2020.10.002
NLM
Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Journal of Statistical Planning and Inference. 2021 ; 212 194-200.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.jspi.2020.10.002
Vancouver
Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Journal of Statistical Planning and Inference. 2021 ; 212 194-200.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.jspi.2020.10.002
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KANG, Kyo Bin et al. Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow. Phytochemistry, v. 173, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.phytochem.2020.112292. Acesso em: 07 set. 2024.
APA
Kang, K. B., Woo, S., Ernst, M., van der Hooft, J. J. J., Nothias, L. -F., Silva, R. R. da, et al. (2020). Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow. Phytochemistry, 173, 1-10. doi:10.1016/j.phytochem.2020.112292
NLM
Kang KB, Woo S, Ernst M, van der Hooft JJJ, Nothias L-F, Silva RR da, Dorrestein PC, Sung SH, Lee M. Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow [Internet]. Phytochemistry. 2020 ; 173 1-10.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.phytochem.2020.112292
Vancouver
Kang KB, Woo S, Ernst M, van der Hooft JJJ, Nothias L-F, Silva RR da, Dorrestein PC, Sung SH, Lee M. Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow [Internet]. Phytochemistry. 2020 ; 173 1-10.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.phytochem.2020.112292
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MAIONE, Camila e BARBOSA JUNIOR, Fernando e BARBOSA, Rommel Melgaço. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, v. 157, p. 436-446, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.020. Acesso em: 07 set. 2024.
APA
Maione, C., Barbosa Junior, F., & Barbosa, R. M. (2019). Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, 157, 436-446. doi:10.1016/j.compag.2019.01.020
NLM
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020
Vancouver
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020
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DANIEL, João Luiz Pratti et al. A data-analysis of lime addition on the nutritive value of sugarcane in Brazil. Animal Feed Science and Technology, v. 184, p. 17-23, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.anifeedsci.2013.05.009. Acesso em: 07 set. 2024.
APA
Daniel, J. L. P., Santos, M. C., Zopollatto, M., Huhtanen, P., & Nussio, L. G. (2013). A data-analysis of lime addition on the nutritive value of sugarcane in Brazil. Animal Feed Science and Technology, 184, 17-23. doi:10.1016/j.anifeedsci.2013.05.009
NLM
Daniel JLP, Santos MC, Zopollatto M, Huhtanen P, Nussio LG. A data-analysis of lime addition on the nutritive value of sugarcane in Brazil [Internet]. Animal Feed Science and Technology. 2013 ; 184 17-23.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.anifeedsci.2013.05.009
Vancouver
Daniel JLP, Santos MC, Zopollatto M, Huhtanen P, Nussio LG. A data-analysis of lime addition on the nutritive value of sugarcane in Brazil [Internet]. Animal Feed Science and Technology. 2013 ; 184 17-23.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.anifeedsci.2013.05.009
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TAKECIAN, Pedro L. et al. Methodological guidelines for reducing the complexity of data warehouse development for transactional blood bank systems. Decision Support Systems, v. 55, n. 3, p. 728-739, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.dss.2013.02.008. Acesso em: 07 set. 2024.
APA
Takecian, P. L., Oikawa, M. K., Braghetto, K. R., Rocha, P., Lucena, F., Kavounis, K., et al. (2013). Methodological guidelines for reducing the complexity of data warehouse development for transactional blood bank systems. Decision Support Systems, 55( 3), 728-739. doi:10.1016/j.dss.2013.02.008
NLM
Takecian PL, Oikawa MK, Braghetto KR, Rocha P, Lucena F, Kavounis K, Schlumpf KS, Acker S, Carneiro-Proietti ABF, Sabino EC, Custer B, Busch MP, Ferreira JE. Methodological guidelines for reducing the complexity of data warehouse development for transactional blood bank systems [Internet]. Decision Support Systems. 2013 ; 55( 3): 728-739.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.dss.2013.02.008
Vancouver
Takecian PL, Oikawa MK, Braghetto KR, Rocha P, Lucena F, Kavounis K, Schlumpf KS, Acker S, Carneiro-Proietti ABF, Sabino EC, Custer B, Busch MP, Ferreira JE. Methodological guidelines for reducing the complexity of data warehouse development for transactional blood bank systems [Internet]. Decision Support Systems. 2013 ; 55( 3): 728-739.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.dss.2013.02.008
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POLETO, Frederico Zanqueta e SINGER, Júlio da Motta e PAULINO, Carlos Daniel. Missing data mechanisms and their implications on the analysis of categorical data. Statistics and Computing, v. 21, n. 1, p. 31-43, 2011Tradução . . Disponível em: https://doi.org/10.1007/s11222-009-9143-x. Acesso em: 07 set. 2024.
APA
Poleto, F. Z., Singer, J. da M., & Paulino, C. D. (2011). Missing data mechanisms and their implications on the analysis of categorical data. Statistics and Computing, 21( 1), 31-43. doi:10.1007/s11222-009-9143-x
NLM
Poleto FZ, Singer J da M, Paulino CD. Missing data mechanisms and their implications on the analysis of categorical data [Internet]. Statistics and Computing. 2011 ; 21( 1): 31-43.[citado 2024 set. 07 ] Available from: https://doi.org/10.1007/s11222-009-9143-x
Vancouver
Poleto FZ, Singer J da M, Paulino CD. Missing data mechanisms and their implications on the analysis of categorical data [Internet]. Statistics and Computing. 2011 ; 21( 1): 31-43.[citado 2024 set. 07 ] Available from: https://doi.org/10.1007/s11222-009-9143-x
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PARANAÍBA, Patrícia F et al. The beta Burr XII distribution with application to lifetime data. Computational Statistics & Data Analysis, v. 55, p. 1118-1136, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2010.09.009. Acesso em: 07 set. 2024.
APA
Paranaíba, P. F., Ortega, E. M. M., Cordeiro, G. M., & Pescim, R. R. (2011). The beta Burr XII distribution with application to lifetime data. Computational Statistics & Data Analysis, 55, 1118-1136. doi:10.1016/j.csda.2010.09.009
NLM
Paranaíba PF, Ortega EMM, Cordeiro GM, Pescim RR. The beta Burr XII distribution with application to lifetime data [Internet]. Computational Statistics & Data Analysis. 2011 ; 55 1118-1136.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.csda.2010.09.009
Vancouver
Paranaíba PF, Ortega EMM, Cordeiro GM, Pescim RR. The beta Burr XII distribution with application to lifetime data [Internet]. Computational Statistics & Data Analysis. 2011 ; 55 1118-1136.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.csda.2010.09.009
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HELENE, Otaviano Augusto Marcondes. Parametric analysis of discrepant sets of data. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament, v. 604, n. 3, p. 701-706, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.nima.2009.03.021. Acesso em: 07 set. 2024.
APA
Helene, O. A. M. (2009). Parametric analysis of discrepant sets of data. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament, 604( 3), 701-706. doi:10.1016/j.nima.2009.03.021
NLM
Helene OAM. Parametric analysis of discrepant sets of data [Internet]. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament. 2009 ; 604( 3): 701-706.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.nima.2009.03.021
Vancouver
Helene OAM. Parametric analysis of discrepant sets of data [Internet]. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament. 2009 ; 604( 3): 701-706.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.nima.2009.03.021
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DELGADO, A O et al. Characterization of etched ion tracks in CR39 and makrofol. Nuclear Instruments & Methods in Physics Research Section B - Beam Interactions with Materials and Atoms, v. 257, n. 1-2, p. 536-540, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.nimb.2007.01.109. Acesso em: 07 set. 2024.
APA
Delgado, A. O., Rizzutto, M. de A., Lima, A. R., Silva, A. A. R. da, Carmignotto, M. A. P., Tabacniks, M. H., & Added, N. (2007). Characterization of etched ion tracks in CR39 and makrofol. Nuclear Instruments & Methods in Physics Research Section B - Beam Interactions with Materials and Atoms, 257( 1-2), 536-540. doi:10.1016/j.nimb.2007.01.109
NLM
Delgado AO, Rizzutto M de A, Lima AR, Silva AAR da, Carmignotto MAP, Tabacniks MH, Added N. Characterization of etched ion tracks in CR39 and makrofol [Internet]. Nuclear Instruments & Methods in Physics Research Section B - Beam Interactions with Materials and Atoms. 2007 ; 257( 1-2): 536-540.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.nimb.2007.01.109
Vancouver
Delgado AO, Rizzutto M de A, Lima AR, Silva AAR da, Carmignotto MAP, Tabacniks MH, Added N. Characterization of etched ion tracks in CR39 and makrofol [Internet]. Nuclear Instruments & Methods in Physics Research Section B - Beam Interactions with Materials and Atoms. 2007 ; 257( 1-2): 536-540.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.nimb.2007.01.109
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HELENE, Otaviano Augusto Marcondes. Comparison of the bootstrap method with another method for the analysis of discrepant data sets. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament, v. 574, n. 1, p. 144-149, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.nima.2007.01.183. Acesso em: 07 set. 2024.
APA
Helene, O. A. M. (2007). Comparison of the bootstrap method with another method for the analysis of discrepant data sets. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament, 574( 1), 144-149. doi:10.1016/j.nima.2007.01.183
NLM
Helene OAM. Comparison of the bootstrap method with another method for the analysis of discrepant data sets [Internet]. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament. 2007 ; 574( 1): 144-149.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.nima.2007.01.183
Vancouver
Helene OAM. Comparison of the bootstrap method with another method for the analysis of discrepant data sets [Internet]. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipament. 2007 ; 574( 1): 144-149.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.nima.2007.01.183
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YOSHIMURA, Elisabeth Mateus. Correlation of optically stimulated luminescence and thermoluminescence of `Al IND.2´`O IND.3´:Fe, Mg, Cr crystals. Nuclear Instruments & Methods in Physics Research Section A- Accelerators, Spectrometers, Detectors and Associated Equipament, v. 580, n. 1, p. 606-609, 2007Tradução . . Disponível em: http://www.sciencedirect.com/science/journal/01689002. Acesso em: 07 set. 2024.
APA
Yoshimura, E. M. (2007). Correlation of optically stimulated luminescence and thermoluminescence of `Al IND.2´`O IND.3´:Fe, Mg, Cr crystals. Nuclear Instruments & Methods in Physics Research Section A- Accelerators, Spectrometers, Detectors and Associated Equipament, 580( 1), 606-609. Recuperado de http://www.sciencedirect.com/science/journal/01689002
NLM
Yoshimura EM. Correlation of optically stimulated luminescence and thermoluminescence of `Al IND.2´`O IND.3´:Fe, Mg, Cr crystals [Internet]. Nuclear Instruments & Methods in Physics Research Section A- Accelerators, Spectrometers, Detectors and Associated Equipament. 2007 ; 580( 1): 606-609.[citado 2024 set. 07 ] Available from: http://www.sciencedirect.com/science/journal/01689002
Vancouver
Yoshimura EM. Correlation of optically stimulated luminescence and thermoluminescence of `Al IND.2´`O IND.3´:Fe, Mg, Cr crystals [Internet]. Nuclear Instruments & Methods in Physics Research Section A- Accelerators, Spectrometers, Detectors and Associated Equipament. 2007 ; 580( 1): 606-609.[citado 2024 set. 07 ] Available from: http://www.sciencedirect.com/science/journal/01689002
