Evaluation of arsenic effects in Vicia faba by FTIR and FTNIR spectroscopy
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Sturchio E., Napolitano P., Beni C. and Mecozzi M.
Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time
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Farmaki E.G., Samios S.A., Thomaidis N.S., Golfinopoulos S., Efstathiou C.E. and Lekkas T.D.