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The phrase "trajectory classification" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or any field that involves categorizing or classifying paths or movements over time. Example: "The study focused on trajectory classification to better understand the movement patterns of the migrating birds."
Exact(2)
Symptom status was also highly predictive of trajectory classification.
To overcome the intertrial difference in trajectory, classification was performed on 19 time windows from −1.5 to 7 sec relative to the "GO" (Fig. 1B) and the highest decoding accuracy across windows was considered as the decoding accuracy for that movement (for more details see Data S1).
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The use of a compartment model may give a clinical sense to specific trajectory classifications and hence be useful for diagnostic, prognostic, or therapeutic purposes.
Using trajectory classifications from the optimal GBTM model, patient demographics, clinical characteristics, and treatment characteristics were summarized for the patients in each GBTM group and subjected to further analyses in order to profile patients in each GBTM group.
To deal with inaccuracies in the joint position estimation, our method integrates a mask for the noisy sections of the trajectories during classification using the confidence values offered by the 3D joint position estimation algorithm [42].
The main operational mode for target detection and tracking in PCL is bistatic, where only the scattered signal from the target may be used for the extraction of range, trajectory information, and classification.
The most popular applications in machinery are trajectory optimization [30], defect classification [31, 32], and scheduling problems [33, 34].
In [17 23], however, it was shown that dedicated FSR can provide excellent Doppler resolution and its algorithms enable both estimation of target trajectory and speed and classification.
A Hazard Perception Test was developed to measure how quickly drivers could anticipate hazards overall, incorporating detection, trajectory prediction, and hazard classification judgements.
The classification of a trajectory as a torus canard is only made clear by examining it in phase space.
If this value is smaller than a predefined threshold τ, we determine that that part of the trajectory is not useful for classification.
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