Nanoparticles for Environment, Engineering, and Nanomedicine

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dc.contributor.authorSeqqat, Rachid
dc.contributor.authorBlaney, Lee
dc.contributor.authorQuesada, David
dc.contributor.authorKumar, Brajesh
dc.contributor.authorCumbal, Luis
dc.date.accessioned2019-03-06T15:24:24Z
dc.date.available2019-03-06T15:24:24Z
dc.date.issued2019-01-30
dc.description.urihttps://www.hindawi.com/journals/jnt/2019/2850723/abs/en_US
dc.format.extent3 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2fhbu-8d7u
dc.identifier.citationRachid Seqqat, Lee Blaney, David Quesada, Brajesh Kumar, and Luis Cumbal, Nanoparticles for Environment, Engineering, and Nanomedicine, Journal of Nanotechnology Volume 2019, Article ID 2850723, 2 pages, https://doi.org/10.1155/2019/2850723en_US
dc.identifier.urihttps://doi.org/10.1155/2019/2850723
dc.identifier.urihttp://hdl.handle.net/11603/12950
dc.language.isoen_USen_US
dc.publisherHindawi
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Chemical, Biochemical & Environmental Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectquantitative structure-activity relationship (QSAR)en_US
dc.subjectquantitative structure-property relationship (QSPR)en_US
dc.subjectMonte Carlo methoden_US
dc.subjectgenetic algorithmsen_US
dc.subjectneural networksen_US
dc.subjectdata miningen_US
dc.subjectnetwork analysisen_US
dc.subjectmachine learning techniquesen_US
dc.subjectk-clustering techniquesen_US
dc.subjectdeep learning techniquesen_US
dc.subjectnanoscienceen_US
dc.subjectnanotechnologyen_US
dc.titleNanoparticles for Environment, Engineering, and Nanomedicineen_US
dc.typeTexten_US

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