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As representative examples, the system is demonstrated for quantitatively measuring the liquids of a fetal fibronectin enzyme linked immunosorbent assay (ELISA) and for differentiating the color of pH test strips.
From these examples, the system is expected to learn a way of classifying unseen examples [ 21].
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For example, the system is disabled if the driver wants to start on a steep hill and presses the brake pedal and then applies the gas.
In the presented example, the system is optimized in respect to both, flatness of the off-axis dose profile and the beam transmission.
We should note that in this example, the system is fully loaded.
For example, the system is designed to scour your Outlook contacts looking for words such as Doctor, Engineer, Plumber and so on.
For example, the system is trained to identify certain aspects, like standing on four legs, whereas rabbits tend to sit on their hind legs.
For example, the system is not yet checking for duplicate uploads.
In this example, the system is described as a regular grid (DiscreteExtent in Fig. 5).
For example, the system is versatile to be used with a different gamma camera model and even with gamma cameras that are also being used in clinical practice.
In panel A, for example, the system is shown to be at an initial state of node 1 = 0, node 2 = 0 and node 3 = 0, or 000.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com