Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of Phytotoxicity of Metal Uptake in Plants using Artificial Neural Networks
Prediction of Phytotoxicity of Metal Uptake in Plants using Artificial Neural Networks
Prediction of Phytotoxicity of Metal Uptake in Plants using Artificial Neural Networks
Gharaibeh, M. A. (Autor:in) / Bani-Hani, K. A. (Autor:in) / Topping, B. H. V.
International conference; 7th, Application of artificial intelligence to civil and structural engineering ; 2003 ; Egmond-aan-Zee, The Netherlands
01.01.2003
2 pages
Also known as AICivil-Comp 2003. Held concurrently with the 9th international conference on civil and structural engineering computing (Civil-Comp 2003); Full papers held on CD ROM
Aufsatz (Konferenz)
Englisch
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Uptake and Phytotoxicity of TNT in Onion Plant
Online Contents | 2004
|Phytotoxicity to and uptake of RDX by rice
Online Contents | 2007
|Heavy-Metal-Induced Reactive Oxygen Species: Phytotoxicity and Physicochemical Changes in Plants
Springer Verlag | 2014
|Prediction of Runoff Using Artificial Neural Networks
HENRY – Bundesanstalt für Wasserbau (BAW) | 2010
|