Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659317896 ISBN 13: 9783659317897
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 52.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659317896 ISBN 13: 9783659317897
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 120,66
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659317896 ISBN 13: 9783659317897
Da: Majestic Books, Hounslow, Regno Unito
EUR 75,92
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 52 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659317896 ISBN 13: 9783659317897
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,55
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 52.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659317896 ISBN 13: 9783659317897
Da: moluna, Greven, Germania
EUR 41,67
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Basu Jayanta KumarHe is a Professor of Department of Chemical Engineering, Indian Institute of Technology Kharagpur,India. He has over 22 years of teaching and research experiences. His field of research is environmental pollution co.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2013
ISBN 10: 3659317896 ISBN 13: 9783659317897
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This discussion offers a systematic approach to predict the adsorption characteristics of a pharmaceutical pollutant, ibuprofen through artificial neural network. The artificial neural network is inspired by biological nervous system. Artificial neural networks are being extensively used for predicting the rate of adsorption of an adsorbent in solid-liquid adsorption system. Adsorption is a versatile method for the treatment of waste water bearing various pollutants. In case of batch adsorption study, the most significant output of an adsorption process, the adsorption capacity can be predicted either by equilibrium study or kinetic study. But application of a new method for the prediction of ibuprofen adsorption is artificial neural network which bifurcates the conventional prediction methods. In the present investigation, the ibuprofen adsorption capacity of microwave assisted activated carbon was predicted through artificial neural network.