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dc.contributor.authorDahmoune, Farid-
dc.contributor.authorRemini, Hocine-
dc.contributor.authorDairi, Sofiane-
dc.contributor.authorAoun, Omar-
dc.contributor.authorMoussi, Kamal-
dc.contributor.authorBouaoudia-Madi, Nadia-
dc.contributor.authorAdjeroud, Nawel-
dc.contributor.authorKadri, Nabil-
dc.contributor.authorLefsih, Khalef-
dc.contributor.authorBoughan, Lhadi-
dc.contributor.authorMouni, Lotfi-
dc.contributor.authorNayak, Balunkeswar-
dc.contributor.authorMadan, Khodir-
dc.date.accessioned2019-08-15T13:50:36Z-
dc.date.available2019-08-15T13:50:36Z-
dc.date.issued2015-
dc.identifier.citationIndustrial Crops and Products 77en_US
dc.identifier.urihttp://dspace.univ-bouira.dz:8080/jspui/handle/123456789/3954-
dc.language.isoenen_US
dc.publisherUniversité de BOUIRA جامعة البويرةen_US
dc.titleUltrasound assisted extraction of phenolic compounds from P. lentiscus L. leaves: Comparative study of artificial neural network (ANN) versus degree of experiment for prediction ability of phenolic compounds recoveryen_US
dc.typeArticleen_US
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