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However, regardless of the nature of the detection system both false positive (where the system detects the target as present when it is absent) and false negative (where the target is present but the system fails to detect it) errors occur in these and in every detection system.
There are three major advantages of our approach: (1) it solves the problem of manual target selection as done by the researchers in morphing; (2) automatic target detection achieves smooth transition from source to destination image; and (3) control points are automatically detected for morphing because the algorithm detects the target based on the matching features.
(b) The main camera detects the target with high resolution.
Simulation results demonstrate that OTH radar with ESBW strategy detects the target successfully in the background of cochannel interference.
Simulation results demonstrate that OTH radar employing ESBW achieves significant SNR improvement compared to LFMCW and detects the target successfully in the presence of strong interference.
If a node detects the target for the first time, it changes its SYNC flag from FALSE to TRUE and broadcasts a SYNC_REQUEST packet to adjacent nodes.
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To detect the target, we use the binary detection model [11, 34].
The Mycoplasma FRET qPCR established in this study detected the target Mycoplasma 16S rRNA with a detection limit of one copy 16S rRNA per reaction.
Other sensors use similar detection molecules, but require extra chemicals or bulky optical readers to detect the target.
The detection limit can be lowered to 2.4 pU/mL, making it possible to detect the target marker sensitively.
Furthermore, FEF activity reliably predicted whether monkeys would detect the target change.
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