Jayanta Kumar Basu (7 results)

Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2013
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Taschenbuch. Condition: Neu. Application of Artificial Neural Network for Ibuprofen Adsorption | Jayanta Kumar Basu (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659317897 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | An…bieter: preigu.

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Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2013
- Softcover
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Condition: 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.

Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2013
- Softcover
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Kartoniert / Broschiert. Condition: 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 experien…ces. His field of research is environmental pollution co.

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Taschenbuch. Condition: 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. Ar…tificial 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.