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Newer models use four assemblies, making the machines faster but more costly.
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Their new models use three CMOS sensors instead of the traditional CCD, improving picture quality and reducing power consumption at the same time.
First, experimental models use three different animals (i.e., dogs, rats and pigs) with various resuscitation protocols.
New shapes are further generated with two different product models using four shape blending/morphing techniques.
Both models used four PLS factors.
Most of these models used four variables although it ranged from three to five.
Two application examples are given for the typical models using two fuzzy integrals, and comparative comments are made.
These models used seven variables suitable for use on fragmentary fossils and had overall classification success rates of >82%.
GIC for the Constant, AMK2003 and BGS2012 2D models using three electrojet locations are shown.
The software automatically positions the bone models using three consecutive algorithms: IIPM, DIFDHSAnn and DIFDoNLP.
Therefore, we estimated all of the GARCH family models using three different specifications for the mean equations.
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