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Using six summer Landsat TM images (1983 , 1987 1992 , 1997 2001, and 2006) the expansion of glossy privet was analyzed using Support Vector Machines (SVM), a non-parametric classifier which we applied to a stack of all images simultaneously, a novel approach in its application to monitor non-native tree invasions.
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In order to demonstrate the efficacy of the proposed models, they are applied to a 5-kW SOFC stack.
The model is applied to a particular cell and stack system and used to evaluate the effects of a range of design and operating conditions.
These considerations are applied to a kilowatt NaBH4/H2O2 fuel cell stack to generate the desired operational characteristics.
The model was applied to a network of existing refinery stacks and the results indicate that three stations can provide a total coverage of more than 70%.
Samples were applied to a pre-cast 4 20% stacking Tris-glycine gel (Novex) with a PageRuler pre-stained protein ladder (Fermentas, Pittsburgh, PA) on the side and electrophoresed at 125 V for 90 minutes.
Our research identified sequential, energetic, and geometric rules for helix coaxial stacking to apply to a dynamic programming algorithm for secondary structure prediction.
After 1 min, a force of 4.3 kN was applied to the stack at 145 °C for 3 min.
Configuration II involves copper sheet as the electrode and a glass fiber polymer-matrix composite film as the dielectric film, with normal pressure applied to the stack.
In addition, the systemic model is applied to design a DMFC stack with 4 single DMFCs connected in series.
A discrete element (DE) method was applied to generate a random stacking of spherical fruits in a typical bin.
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