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International Journal of Computer Mathematics Volume 91, 2014 - Issue 1: Advanced Computational Engineering
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Section B

Ensemble of naïve Bayesian approaches for the study of biofilm development in drinking water distribution systems

E. Ramos-MartínezFluIng-IMM, Universitat Politècnica de València, C. de Vera s/n, Edif 5C, 46022Valencia, SpainCorrespondence[email protected]
,
M. HerreraBATir – Université libre de Bruxelles, Av F. Roosevelt, 50 CP 194/2, B-1050, Brussels, Belgium
,
J. IzquierdoFluIng-IMM, Universitat Politècnica de València, C. de Vera s/n, Edif 5C, 46022Valencia, Spain
&
R. Pérez-GarcíaFluIng-IMM, Universitat Politècnica de València, C. de Vera s/n, Edif 5C, 46022Valencia, Spain
Pages 135-146 | Received 22 Oct 2012, Accepted 20 May 2013, Published online: 01 Jul 2013

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Matthias Ehrhardt, Lucas Jódar Sánchez & Rafael Jacinto Villanueva Micó. (2014) Advanced computational engineering. International Journal of Computer Mathematics 91:1, pages 1-3.
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Daniel P. Huffman, Sarah Pitell, Paige Moncure, Janet Stout, Jill E. Millstone, Sarah-Jane Haig & Leanne M. Gilbertson. (2024) Moving beyond silver in point-of-use drinking water pathogen control. Environmental Science: Water Research & Technology.
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Madeleine F. Dupont, Aaron Elbourne, Daniel Cozzolino, James Chapman, Vi Khanh Truong, Russell J. Crawford & Kay Latham. (2020) Chemometrics for environmental monitoring: a review. Analytical Methods 12:38, pages 4597-4620.
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Giovanni Dimauro, Francesca Deperte, Rosalia Maglietta, Mario Bove, Fabio La Gioia, Vito Renò, Lorenzo Simone & Matteo Gelardi. (2020) A Novel Approach for Biofilm Detection Based on a Convolutional Neural Network. Electronics 9:6, pages 881.
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Karina Gibert, Joaquín Izquierdo, Miquel Sànchez-Marrè, Serena H. Hamilton, Ignasi Rodríguez-Roda & Geoff Holmes. (2018) Which method to use? An assessment of data mining methods in Environmental Data Science. Environmental Modelling & Software 110, pages 3-27.
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