Vallese, F. D., Garcia Paoloni, M. S., Springer, V., Fernandes, D. D. d. S., Diniz, P. H. G. D., & Pistonesi, M. F. (2024). Exploiting the successive projections algorithm to improve the quantification of chemical constituents and discrimination of botanical origin of Argentinean bee-pollen. Elsevier.
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Chicago Style (17th ed.) Citation
Vallese, Federico Danilo, María Soledad Garcia Paoloni, Valeria Springer, David Douglas de Sousa Fernandes, Paulo Henrique Gonçalves Dias Diniz, and Marcelo Fabián Pistonesi. Exploiting the Successive Projections Algorithm to Improve the Quantification of Chemical Constituents and Discrimination of Botanical Origin of Argentinean Bee-pollen. Elsevier, 2024.
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MLA (9th ed.) Citation
Vallese, Federico Danilo, et al. Exploiting the Successive Projections Algorithm to Improve the Quantification of Chemical Constituents and Discrimination of Botanical Origin of Argentinean Bee-pollen. Elsevier, 2024.
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Warning: These citations may not always be 100% accurate.