Research ArticleOpen accessAll words, across the recordModels of Winter Wheat Yield Based on Calcareous Chernozem Fertility ParametersOlga A. Biryukova, Dmitry V. Bozhkov, Tatiana M. Minkina et al.The use of polyelement diagnostics and regression analysis for predicting the yield of winter wheat at different stages of vegetation is considered. It has been established that the prediction and integrated assessment of grain yield and quality should be performed with consideration for the balance of macro-and micronutrients in the grain and the aboveground biomass of plants. Possibility of predicting … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 4 · 1 Jan 2016 · 7,671 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordERROR DETECTION SCHEMES FOR FINITE FIELD MULTIPLIERSB. Sargunam, R. DhanasekaranFinite field multipliers are widely used in the field of cryptography for the purpose of scalar multiplication. The outputs of the finite field multipliers may consist of errors due to certain natural radiations which further leads to the failure of the cryptosystems. Here two Concurrent Error Detection (CED) schemes namely time redundancy and modular inversion based error detection schemes for … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 11 Dec 2013 · 6,913 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLinear Genetic Programming for Prediction of Nickel Recovery from Spent Nickel CatalystMona E. Ossman, Walaa Sheta, Y. EltaweelProblem statement: In this study Linear Genetic Programming (LGP) and statistical regression are used in predicting Current Efficiency (CE) of Electro deposition cell used for recovery of nickel from spent nickel catalyst. Approach: The Nickel electro deposition from spent catalyst leachate solutions was studied to determine the effect of the operative conditions such as nickel concentration, temperature, current density and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,345 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrediction of Double Layer Grids' Maximum Deflection Using Neural NetworksReza Kamyab Moghadas, Kok Keong ChoongEfficient neural networks models are trained to predict the maximum deflection of two-way on two-way grids with variable geometrical parameters (span and height) as well as cross-sectional areas of the element groups. Backpropagation (BP) and Radial Basis Function (RBF) neural networks are employed for the mentioned purpose. The inputs of the neural networks are the length of the spans, L, … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,488 accessesView PDFCite