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Aiming at the problem that unstable identification results and weak generalization ability in feature extraction based on manual design features in weed identification, this paper take the soybean seedlings and its associated weeds as the research object, and construct a weed identification model based on K-means feature learning combined with Convolutional neural network.
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Despite performing our analysis in a stable flow regime — all our eigenvectors are decaying — we provide qualitative connections with previous local and global results in unstable regimes: the identification of the most receptive and sensitive regions within our domain provides an explanation for the validity of the local analysis results.
The clinical marker tool was designed to assist in the early identification of unstable patients in the general surgical and medical ward environment based on abnormal vital signs.
Identification of unstable atherosclerotic plaques through novel neuroimaging techniques, such as intravascular ultrasound, is a potentially powerful diagnostic tool which has yet to be clinically validated [ 46, 47].
VIE visualization could serve as a complimentary tool to conventional image visualization for the detailed analysis of coronary lumen changes in relation to the plaque components, therefore, assisting identification of unstable or vulnerable plaques.
This unstable and primitive mode of identification was termed by Klein the paranoid-schizoid position.
This paper deals with the identification of an unstable transfer function model for a magnetic levitation system (Maglev) by a subspace identification method.
One solution is closed-loop identification of the unstable suspension system formed by a rigid payload suspended by a single EMI.
In this paper, we consider closed-loop identification for an unstable multivariable dual-rate system with the sampling period of the output being an integral multiple of the hold period of the input.
It is worth emphasizing that the component by component delay identification in an unstable MIMO system is a difficult task, since it is impractical to estimate from open-loop experiments.
Consequently, it is clinically important to characterize the coronary plaques, especially identification of the unstable plaques, rather than detect the degree of coronary stenoses.
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