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is the location of the sensor node and is the euclidean distance between the two sensor nodes and.
Figure 4 Probability of detection vs. separation distance d between the two sensor nodes for different detectors given P F = 0.01.
To account for non-linear color or intensity shifts between the two sensor outputs, an additional correction step allows for realizing non-linear mappings.
where d is the distance between the two sensor nodes, E Tx (L, d) is the transmitter energy consumption, and E Rx (L) is the receiver energy consumption.
Next, Figure 5 displays the ROC curves for the different pair detectors for two different separation distances d between the two sensor nodes.
Based on at least two shots on such scenes, the relative transformation between the two sensor coordinate systems is estimated via nonlinear optimization.
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This key will be used to secure the data sent between the two sensors.
Nevertheless, to date the difference in the capability of mapping built-up land between the two sensors is not clear.
Between the two sensors, S showed excellent fluorescent specific selectivity and high sensitivity for Fe3+ in DMSO solution.
The distance between the two sensors of the Kinect results in different projected locations in the RGB and the depth images for the same 3D point.
Spatial and temporal information are the input and the corresponding drift between the two sensors are the output of the training set.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com