About: Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована в січні 2017 (uk) im Januar 2017 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57353621-55054E1B-EF57-46C2-9930-E36269BE9A2B
publication date	2017-01-23 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q57353621-61C94633-9015-4A32-8432-AC260323EC1F
language of work or name	English
exact match	wds:Q57353621-7778A89B-F96E-408A-8C33-DC4F12952E20
exact match	https://scigraph.springernature.com/pub.10.1007/s13762-017-1248-8
cites work	wds:Q57353621-1A02A285-6967-4CD0-BE4F-3641B89706C1 wds:Q57353621-20CA9966-F753-408D-B013-DEED7524236F wds:Q57353621-2512FB63-A699-4573-9143-451009ED77BF wds:Q57353621-4F5EEFC8-E07C-48BB-B1CF-6C299F2AE912 wds:Q57353621-5560BE1E-F614-4780-8EB0-2F97B179E08B wds:Q57353621-591088C0-B020-44C8-B673-27D4C4CE62C4 wds:Q57353621-6082A921-6618-4FFF-8AB1-0AEFC9D34263 wds:Q57353621-6CE5FBEE-D62D-48E4-A4A3-C91830CEAFAA wds:Q57353621-80D35B97-6DC4-4BAF-A895-2838A5B5D646 wds:Q57353621-9BF77A83-6DB6-4AEA-ADF8-135B82A39969 wds:Q57353621-AC829832-46CA-4677-8606-C325635D725E wds:Q57353621-CB0B2E8D-F2FD-4960-AAE7-5790BF907B5C wds:Q57353621-D231477F-B070-458F-88CD-0355EF9C4380 wds:Q57353621-DD9BAE26-3F73-4307-92BF-61A6E16190C2 wds:Q57353621-F0BD473D-8140-4CC2-92E5-7DA267C21F76 wds:Q57353621-FA6AFF61-8BF0-426E-8942-C6C9C8A4A48C wds:Q57353621-FC95D62C-203F-42A3-A498-18CF35326F87
cites work	Generalized regression neural network-based approach for modelling hourly dissolved oxygen concentration in the Upper Klamath River, Oregon, USA. A general regression neural network. Learning representations by back-propagating errors Enhancement of Cd(II) adsorption by polyacrylic acid modified magnetic mesoporous carbon Effects of environmental cadmium and lead exposure on adults neighboring a discharge: Evidences of adverse health effects A study of the hydration of the alkali metal ions in aqueous solution. Monthly water quality forecasting and uncertainty assessment via bootstrapped wavelet neural networks under missing data for Harbin, China Removal of heavy metals from water using polyvinylamine by polymer-enhanced ultrafiltration and flocculation Suspended sediment load prediction of river systems: An artificial neural network approach Zinc removal from wastewater by complexation-microfiltration process Artificial intelligence for the modeling and control of combustion processes: a review An investigation and pathological analysis of two fatal cases of cadmium poisoning Recovery of nickel from aqueous solutions by complexation-ultrafiltration process with sodium polyacrylate and polyethylenimine. Thermosensitive polymer Enhanced Filtration (TEF) process: An innovative process for heavy metals removal and recovery from industrial wastewaters Retention of cadmium ions from aqueous solutions by poly(ammonium acrylate) enhanced ultrafiltration Treatment of copper (II)-loaded aqueous nitrate solutions by polymer enhanced ultrafiltration and electrodeposition Ecohydrological modeling for large-scale environmental impact assessment.
author name string	wds:Q57353621-11BE0757-9763-4B73-B4EB-8FE2D1DD8B69 wds:Q57353621-348DA056-D438-4363-AE46-936C056E9A01 wds:Q57353621-4FD09FA8-AAE5-4797-82F6-E8E60E3F2C53 wds:Q57353621-64746602-6540-4F2F-BF00-8C97C4B094E8
author name string	S. Stevanović D. Antanasijević K. Trivunac Z. Sekulić
rdfs:label	Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (en) Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (nl)
skos:prefLabel	Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (en) Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (nl)
name	Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (en) Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (nl)
title	wds:Q57353621-7824232A-28D6-4996-8675-F33B61FBD297
title	Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process (en)
page(s)	wds:Q57353621-197D9B56-7AF6-405A-983D-4A3CBA82DDAD
page(s)	1383-1396
instance of	wds:Q57353621-9056BEEA-C003-4AB2-908A-5AB3C0F15BB8
instance of	scholarly article
main subject	wds:Q57353621-64AE58EB-DEE1-4957-9CC5-47D3BF63FB1D wds:Q57353621-BDA588F0-1373-4843-A300-E69C75829780
main subject	artificial neural network wastewater
published in	wds:Q57353621-3EF71AA6-1D2A-4CE0-AFAE-D74E83200484
published in	International Journal of Environmental Science and Technology
issue	wds:Q57353621-CA945609-B33D-4813-9F01-BE8B49C61144
volume	wds:Q57353621-1C666DDC-6C04-49AF-BEEB-8C1F7F1182DE
issue	7
volume	14
DOI	wds:Q57353621-51C25730-8A81-4623-A713-1A86533CCE75
DOI	http://dx.doi.org/10.1007/S13762-017-1248-8
DOI	10.1007/S13762-017-1248-8
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57353621

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