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On other hand robots are equipped with local sensors, which are used to detection other robots in its communication zone.
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Finally, FFNNs has been used to detection active compounds in real and spiked water samples.
Blood samples were used to detection resistin levels by enzyme-linked immunosorbent assay (ELISA).
Finally, outlier detection can be used to detect malicious requests.
High concentrations are used to enable detection of the desorbed portion without sample pre-concentration.
The distances to the detected animals are used to model a detection function.
These results are used to approximate the detection probability by the non-central/central approximation.
A number of measurements from the turbine are used to develop anomaly detection algorithms.
Distinct SERS peaks for each analyte are used to demonstrate co-detection of the analytes.
Such tests are used to assist in the detection, diagnosis, and monitoring of various medical conditions.
This approach is very efficient since detections are used to rectify object trajectories, being able to locally approximate nonlinear behaviors.
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