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Prediction of copper and chromium concentrations in bean leaves based on an artificial neural network modelInternational Journal of Environmental Science and Technology, 2014, 11 (6), pp.1781-1786. ⟨10.1007/s13762-014-0496-0⟩
Journal articles
insu-00939987v1
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Application of an inverse neural network model for the identification of optimal amendment to reduce Copper toxicity in phytoremediated contaminated soilsJournal of Geochemical Exploration, 2014, 136, pp.14-23. ⟨10.1016/j.gexplo.2013.09.002⟩
Journal articles
insu-00869148v1
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Effect of organic amendments on the mobility of trace elements in phytoremediated techno-soils: role of the humic substancesEnvironmental Science and Pollution Research, 2014, 21 (17), pp.10470-10480. ⟨10.1007/s11356-014-2959-8⟩
Journal articles
insu-01019304v1
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