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Sensitive Feature sentence examples within feature extraction method
The proposed feature extraction method aims at providing new damage-sensitive features in three levels including (1) analyzing the nature of measured vibration signals in terms of stationarity or non-stationarity, and normalizing non-stationary signals by detrending and differencing techniques, (2) modeling each vibration signal by an Autoregressive Moving Average (ARMA) model along with extracting the model residuals, and (3) estimating the power spectral density of residual samples as a new spectral-based feature.
The proposed feature extraction method aims at providing new damage-sensitive features in three levels including (1) analyzing the nature of measured vibration signals in terms of stationarity or non-stationarity, and normalizing non-stationary signals by detrending and differencing techniques, (2) modeling each vibration signal by an Autoregressive Moving Average (ARMA) model along with extracting the model residuals, and (3) estimating the power spectral density of residual samples as a new spectral-based feature.
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We proposed a novel feature extraction method named one-dimensional K-singular value decomposition to extract the sensitive feature from run-to-failure data.
We proposed a novel feature extraction method named one-dimensional K-singular value decomposition to extract the sensitive feature from run-to-failure data.
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Sensitive Feature sentence examples within time frequency feature
To accurately and efficiently extract sensitive features from the strong noise interference and unsteady monitoring signals of reciprocating machinery, a study on the time-frequency feature extraction method of multi-source shock signals was conducted.
To accurately and efficiently extract sensitive features from the strong noise interference and unsteady monitoring signals of reciprocating machinery, a study on the time-frequency feature extraction method of multi-source shock signals was conducted.
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The features of the time-frequency feature matrix obtained by WPT are further extracted, and the features that are sensitive to fault in the time-frequency feature matrix are retained while the insensitive features are removed; finally, the extracted feature matrix is used as the input of the Support Vector Machine (SVM) classifier for bearing fault diagnosis.
The features of the time-frequency feature matrix obtained by WPT are further extracted, and the features that are sensitive to fault in the time-frequency feature matrix are retained while the insensitive features are removed; finally, the extracted feature matrix is used as the input of the Support Vector Machine (SVM) classifier for bearing fault diagnosis.
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Sensitive Feature sentence examples within Damage Sensitive Feature
A new damage sensitive feature (DSF) is also introduced that considers synchronisation of peaks between the IA and IF signals.
A new damage sensitive feature (DSF) is also introduced that considers synchronisation of peaks between the IA and IF signals.
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Structural health monitoring vibration-based methods are also a promising technology for medium-rise mass house buildings when tailored according to some damage sensitive feature.
Structural health monitoring vibration-based methods are also a promising technology for medium-rise mass house buildings when tailored according to some damage sensitive feature.
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Sensitive Feature sentence examples within Dimensional Sensitive Feature
In this paper, we propose a weighted k-nearest neighbor (WKNN) fault diagnosis model based on multi-dimensional sensitive features, and propose a fault diagnosis method for rolling bearings that adapts to different equipment and different operating conditions.
In this paper, we propose a weighted k-nearest neighbor (WKNN) fault diagnosis model based on multi-dimensional sensitive features, and propose a fault diagnosis method for rolling bearings that adapts to different equipment and different operating conditions.
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In addition, it uses LS to select and construct low-dimensional sensitive feature vectors, which are incorporated into the PSO-PNN model for diagnostic analysis to realize the state recognition of rolling bearing.
In addition, it uses LS to select and construct low-dimensional sensitive feature vectors, which are incorporated into the PSO-PNN model for diagnostic analysis to realize the state recognition of rolling bearing.
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Sensitive Feature sentence examples within Extract Sensitive Feature
The designed enhanced WPT-DET (EWPT-DET) method can extract sensitive features based on self-defined attention coefficients.
The designed enhanced WPT-DET (EWPT-DET) method can extract sensitive features based on self-defined attention coefficients.
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To accurately and efficiently extract sensitive features from the strong noise interference and unsteady monitoring signals of reciprocating machinery, a study on the time-frequency feature extraction method of multi-source shock signals was conducted.
To accurately and efficiently extract sensitive features from the strong noise interference and unsteady monitoring signals of reciprocating machinery, a study on the time-frequency feature extraction method of multi-source shock signals was conducted.
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Sensitive Feature sentence examples within Polarization Sensitive Feature
The usage of 45° TFG has three benefits: 1), it realizes polarization modulation preventing bias-drift due to its polarization sensitive feature; 2), it enables stable and highly efficient in-fiber compact free-space light emitter; and 3) it accomplishes free-space beam steering due to its wavelength-depending diffraction characteristic.
The usage of 45° TFG has three benefits: 1), it realizes polarization modulation preventing bias-drift due to its polarization sensitive feature; 2), it enables stable and highly efficient in-fiber compact free-space light emitter; and 3) it accomplishes free-space beam steering due to its wavelength-depending diffraction characteristic.
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This research has both fundamental and applied relevance, and may enable the realization of THz devices capable of polarization manipulation or possessing polarization sensitive features.
This research has both fundamental and applied relevance, and may enable the realization of THz devices capable of polarization manipulation or possessing polarization sensitive features.
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Sensitive Feature sentence examples within Select Sensitive Feature
The factor analysis applied to the LBP wavelet aims to select sensitive features from input data (LBP output) and reduce the size input.
The factor analysis applied to the LBP wavelet aims to select sensitive features from input data (LBP output) and reduce the size input.
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Experimental results show that the feature subset generated by the proposed method can effectively select sensitive features, reduce the dimension of feature space, and achieve higher classification accuracy.
Experimental results show that the feature subset generated by the proposed method can effectively select sensitive features, reduce the dimension of feature space, and achieve higher classification accuracy.
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Sensitive Feature sentence examples within Fault Sensitive Feature
By using multi-time characteristic gas data as the input of the diagnostic model, combined with convolution and pooling, the fault sensitive features were extracted, and the time dimension features were extracted by using the recursive neural network with gated structure.
By using multi-time characteristic gas data as the input of the diagnostic model, combined with convolution and pooling, the fault sensitive features were extracted, and the time dimension features were extracted by using the recursive neural network with gated structure.
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The low-dimensional fault sensitive feature subsets are extracted by the proposed LGBODP algorithm.
The low-dimensional fault sensitive feature subsets are extracted by the proposed LGBODP algorithm.
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Sensitive Feature sentence examples within sensitive feature set
It retains the integrity of the signal components and avoids the problem of dimension disaster caused by anomaly detection, which laid a foundation for the accurate classification of sensitive feature sets.
It retains the integrity of the signal components and avoids the problem of dimension disaster caused by anomaly detection, which laid a foundation for the accurate classification of sensitive feature sets.
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Here, the fairness requirements refer to not exposing sensitive feature set in the user modeling process.
Here, the fairness requirements refer to not exposing sensitive feature set in the user modeling process.
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Sensitive Feature sentence examples within sensitive feature computed
This strategy is based on the extraction of a damage size sensitive feature computed from damage imaging results.
This strategy is based on the extraction of a damage size sensitive feature computed from damage imaging results.
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In this paper, a robust damage index is proposed based on a damage sensitive feature computed in a decentralized fashion, suitable for smart wireless sensing solutions.
In this paper, a robust damage index is proposed based on a damage sensitive feature computed in a decentralized fashion, suitable for smart wireless sensing solutions.
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Sensitive Feature sentence examples within sensitive feature extraction
Time domain analysis, frequency domain analysis, and variational mode decomposition (VMD) were performed on current signals for sensitive feature extraction closely related to tool wear; rotation-invariant uniform local binary patterns (RULBP) and_Gray-Level_o-occurrence Matrix (GLCM) were performed on machined surface image for sensitive feature extraction that was in close contact with tool wear.
Time domain analysis, frequency domain analysis, and variational mode decomposition (VMD) were performed on current signals for sensitive feature extraction closely related to tool wear; rotation-invariant uniform local binary patterns (RULBP) and_Gray-Level_o-occurrence Matrix (GLCM) were performed on machined surface image for sensitive feature extraction that was in close contact with tool wear.
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The system consists of two parallel branches: a spherical-view branch for orientation-invariant feature extraction, and the top-down view branch for translation-insensitive feature extraction.
The system consists of two parallel branches: a spherical-view branch for orientation-invariant feature extraction, and the top-down view branch for translation-insensitive feature extraction.
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Sensitive Feature sentence examples within sensitive feature vector
Afterward, MCFS is used to pick sensitive features from the attained raw fault features to form the sensitive feature vectors, thereby reducing the impact of redundant features.
Afterward, MCFS is used to pick sensitive features from the attained raw fault features to form the sensitive feature vectors, thereby reducing the impact of redundant features.
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In addition, it uses LS to select and construct low-dimensional sensitive feature vectors, which are incorporated into the PSO-PNN model for diagnostic analysis to realize the state recognition of rolling bearing.
In addition, it uses LS to select and construct low-dimensional sensitive feature vectors, which are incorporated into the PSO-PNN model for diagnostic analysis to realize the state recognition of rolling bearing.
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Sensitive Feature sentence examples within sensitive feature space
Our model output is trained to change symmetrically with respect to the input transformations, leading to a sensitive feature space.
Our model output is trained to change symmetrically with respect to the input transformations, leading to a sensitive feature space.
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(2) We propose the Changepoint-Modulated Pseudo-Labelling (CMPL) algorithm to leverage cues from abrupt changes in motion-sensitive feature space to improve pseudo-labelling quality for adaptation.
(2) We propose the Changepoint-Modulated Pseudo-Labelling (CMPL) algorithm to leverage cues from abrupt changes in motion-sensitive feature space to improve pseudo-labelling quality for adaptation.
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Sensitive Feature sentence examples within sensitive feature representation
To this end, we introduce two novel plug-and-play units in the network: self-generative adversarial networks (GANs) module and mutual-GANs module, to learn perturbation-insensitive feature representations and to eliminate the gap between multimodalities, respectively, yielding more effective and robust information transfer.
To this end, we introduce two novel plug-and-play units in the network: self-generative adversarial networks (GANs) module and mutual-GANs module, to learn perturbation-insensitive feature representations and to eliminate the gap between multimodalities, respectively, yielding more effective and robust information transfer.
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It can learn class-sensitive feature representation, which is quite helpful to distinguish the minority traffic classes.
It can learn class-sensitive feature representation, which is quite helpful to distinguish the minority traffic classes.
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Sensitive Feature sentence examples within sensitive feature map
To address these issues, we propose an encoder–encoder architecture, called rotated feature network (RFN), which produces rotation-sensitive feature maps (RS) for regression and rotation-invariant feature maps (RI) for classification.
To address these issues, we propose an encoder–encoder architecture, called rotated feature network (RFN), which produces rotation-sensitive feature maps (RS) for regression and rotation-invariant feature maps (RI) for classification.
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The main idea is to establish spatial-channel interactions between the normalized blur-insensitive feature maps yielded by a short-term Fourier transform (STFT) to enhance the descriptive power while maintaining the insensitivity to blur.
The main idea is to establish spatial-channel interactions between the normalized blur-insensitive feature maps yielded by a short-term Fourier transform (STFT) to enhance the descriptive power while maintaining the insensitivity to blur.
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Sensitive Feature sentence examples within sensitive feature subset
More Sensitive Feature sentence examples
10.3390/APP11136239
Furthermore, a new indicator, combining multiple debonding-sensitive features by similarity-based weights normalizing the initial difference between mutual instantaneous baselines, is developed to support rational and comprehensive assessment quantitatively.
Furthermore, a new indicator, combining multiple debonding-sensitive features by similarity-based weights normalizing the initial difference between mutual instantaneous baselines, is developed to support rational and comprehensive assessment quantitatively.
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More Sensitive Feature sentence examples
10.1109/ACCESS.2021.3057399
The results of experiments conducted on two large power marine multi-cylinder diesel engines show that BDA is capable of transferring the sensitive features of operating conditions.
The results of experiments conducted on two large power marine multi-cylinder diesel engines show that BDA is capable of transferring the sensitive features of operating conditions.
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10.1088/2058-8585/ac20e1
The findings of this work support the design of soft sensors for touch recognition applications in the automotive industry, soft robots or self-adjusting grippers requiring a sense of touch and multimodal and strain-insensitive features.
The findings of this work support the design of soft sensors for touch recognition applications in the automotive industry, soft robots or self-adjusting grippers requiring a sense of touch and multimodal and strain-insensitive features.
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More Sensitive Feature sentence examples
10.1145/3442381.3449813
Furthermore, based on local differential privacy and functional mechanism, we innovatively devise a dual-stage encryption paradigm to simultaneously enforce privacy guarantee on users’ sensitive features and the model optimization process.
Furthermore, based on local differential privacy and functional mechanism, we innovatively devise a dual-stage encryption paradigm to simultaneously enforce privacy guarantee on users’ sensitive features and the model optimization process.
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10.1016/J.ISTRUC.2021.07.032
Using the acquired signals, the damage-sensitive features in both frequency and time domains are determined in the structure.
Using the acquired signals, the damage-sensitive features in both frequency and time domains are determined in the structure.
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10.1016/j.matchemphys.2020.123700
8%) was achieved with insensitive features.
8%) was achieved with insensitive features.
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10.1016/J.YMSSP.2020.107561
The results demonstrate that the minimum detectable damage depends on three elements: the uncertainty of the damage-sensitive feature (which decreases with increasing measurement duration), its sensitivity towards model-based design parameters, and the reliability requirements regarding the damage diagnosis results.
The results demonstrate that the minimum detectable damage depends on three elements: the uncertainty of the damage-sensitive feature (which decreases with increasing measurement duration), its sensitivity towards model-based design parameters, and the reliability requirements regarding the damage diagnosis results.
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More Sensitive Feature sentence examples
10.1016/J.SNB.2021.129513
Furthermore, the CDs exhibited a distinct H+-sensitive feature, and have been used to construct fluorescent pH sensor in linear range of 6.
Furthermore, the CDs exhibited a distinct H+-sensitive feature, and have been used to construct fluorescent pH sensor in linear range of 6.
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More Sensitive Feature sentence examples
10.1109/DSAA53316.2021.9564112
In this paper, we address process fairness of ML models that consists in reducing the dependence of models on sensitive features, without compromising their performance.
In this paper, we address process fairness of ML models that consists in reducing the dependence of models on sensitive features, without compromising their performance.
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More Sensitive Feature sentence examples
10.1155/2021/5552048
Therefore, it is considered that MPE values can be used as the sensitive features for spiral bevel gears fault identifications.
Therefore, it is considered that MPE values can be used as the sensitive features for spiral bevel gears fault identifications.
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More Sensitive Feature sentence examples
10.1016/J.ECOLIND.2021.107901
The results showed that multiple repetitions of SPA and RF modeling operations could provide a robust set of sensitive features and reliable accuracies of vegetation parameter estimation.
The results showed that multiple repetitions of SPA and RF modeling operations could provide a robust set of sensitive features and reliable accuracies of vegetation parameter estimation.
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More Sensitive Feature sentence examples
10.12989/SSS.2021.27.2.257
Moreover, the inverse Fourier transform of TFs and wavelet packet transform are used to reduce the influence of frequency bands and to extract the damagesensitive feature, respectively.
Moreover, the inverse Fourier transform of TFs and wavelet packet transform are used to reduce the influence of frequency bands and to extract the damagesensitive feature, respectively.
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More Sensitive Feature sentence examples
10.1016/J.NEUCOM.2021.03.037
In order to extract azimuth-insensitive features in a SAR ATR task with only a few training samples, a convolutional bidirectional long short-term memory (Conv-BiLSTM) network is designed as an embedding network to map the SAR images into a new feature space where the classification problem becomes easier.
In order to extract azimuth-insensitive features in a SAR ATR task with only a few training samples, a convolutional bidirectional long short-term memory (Conv-BiLSTM) network is designed as an embedding network to map the SAR images into a new feature space where the classification problem becomes easier.
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More Sensitive Feature sentence examples
10.1109/ACCESS.2021.3076596
In our refined horizontal detector, a multi-orientation Region of Interest (RoI) Align and Orientation Attention Module (OAM) are adopted to make use of the orientation information for obtaining the orientation-sensitive features in regression branch and produce the orientation-invariant features in classification branch.
In our refined horizontal detector, a multi-orientation Region of Interest (RoI) Align and Orientation Attention Module (OAM) are adopted to make use of the orientation information for obtaining the orientation-sensitive features in regression branch and produce the orientation-invariant features in classification branch.
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More Sensitive Feature sentence examples
10.1109/ICIEA51954.2021.9516299
Then the ReliefF algorithm is used to select the sensitive features to be fused later.
Then the ReliefF algorithm is used to select the sensitive features to be fused later.
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More Sensitive Feature sentence examples
10.1093/mnras/stab1136
35 to ∼ 1μm, we study radial gradients of optical and near-infrared (NIR) IMF-sensitive features along the major axis of the bulge of M31, out to a galactocentric distance of ∼ 200 arcsec (∼ 800 pc).
35 to ∼ 1μm, we study radial gradients of optical and near-infrared (NIR) IMF-sensitive features along the major axis of the bulge of M31, out to a galactocentric distance of ∼ 200 arcsec (∼ 800 pc).
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More Sensitive Feature sentence examples
10.3390/ELECTRONICS10040432
It extracts four authorization-sensitive features: basic blocks, permissions, Application Programming Interfaces (APIs), and key functions, and layer-by-layer detects malware based on the similar module and the proposed deep learning model Convolutional Neural Network and eXtreme Gradient Boosting (CNNXGB).
It extracts four authorization-sensitive features: basic blocks, permissions, Application Programming Interfaces (APIs), and key functions, and layer-by-layer detects malware based on the similar module and the proposed deep learning model Convolutional Neural Network and eXtreme Gradient Boosting (CNNXGB).
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More Sensitive Feature sentence examples
10.1145/3474085.3475347
Specifically, our approach consists of three ideas: (i) extracting compression-insensitive features from both uncompressed and compressed forgeries using an adversarial learning strategy; (ii) learning a robust partition by constructing a metric loss that can reduce the distance of the paired original and compressed images in the embedding space; (iii) improving the accuracy of tampered localization with an attention-transfer module.
Specifically, our approach consists of three ideas: (i) extracting compression-insensitive features from both uncompressed and compressed forgeries using an adversarial learning strategy; (ii) learning a robust partition by constructing a metric loss that can reduce the distance of the paired original and compressed images in the embedding space; (iii) improving the accuracy of tampered localization with an attention-transfer module.
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10.1016/J.JQSRT.2021.107687
Wavelength-selective and polarization-sensitive features are exhibited in spectra of properties for complex gratings.
Wavelength-selective and polarization-sensitive features are exhibited in spectra of properties for complex gratings.
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10.3390/cancers13153835
A selected group of features (CV < 3 for the reproducibility/stability studies, CV > 1 for the sensitivity studies) were identified to support future multicentre studies, assuring both stable features when dose distributions variation is minimal and sensitive features when dose distribution variations need to be clearly identified.
A selected group of features (CV < 3 for the reproducibility/stability studies, CV > 1 for the sensitivity studies) were identified to support future multicentre studies, assuring both stable features when dose distributions variation is minimal and sensitive features when dose distribution variations need to be clearly identified.
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10.1016/j.istruc.2020.11.040
This method benefits from a novel feature selection method called signal simulation-based feature selection (SSFS) algorithm, which only relies on baseline signals to extract the most sensitive features from any type of structure.
This method benefits from a novel feature selection method called signal simulation-based feature selection (SSFS) algorithm, which only relies on baseline signals to extract the most sensitive features from any type of structure.
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10.3390/EN14113236
A sequence of CUSUM test statistics is used as a damage-sensitive feature in a control chart scheme.
A sequence of CUSUM test statistics is used as a damage-sensitive feature in a control chart scheme.
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10.1016/j.yebeh.2021.108030
History of sexual abuse had the highest pooled specificity (89%), while the most sensitive feature was female sex (72%).
History of sexual abuse had the highest pooled specificity (89%), while the most sensitive feature was female sex (72%).
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10.1016/j.pep.2021.105973
In conclusion, in this study, the protease-sensitive features of BR102-WT were well characterized and efficient optimization was performed.
In conclusion, in this study, the protease-sensitive features of BR102-WT were well characterized and efficient optimization was performed.
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10.1051/0004-6361/202142050
We aim at building a method that efficiently identifies young low-mass stars and brown dwarfs from low-resolution near-infrared spectra, by studying gravity-sensitive features and their evolution with age.
We aim at building a method that efficiently identifies young low-mass stars and brown dwarfs from low-resolution near-infrared spectra, by studying gravity-sensitive features and their evolution with age.
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10.1016/j.measurement.2021.110101
After that, CNN is applied to automatically extract damage-sensitive features of UARDMs and classify them for the identification of damage cases.
After that, CNN is applied to automatically extract damage-sensitive features of UARDMs and classify them for the identification of damage cases.
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10.1109/PRML52754.2021.9520705
This method uses a new fitness function to select the most damage-sensitive features, eliminate the irrelevant and redundant features, and improve the classification performance.
This method uses a new fitness function to select the most damage-sensitive features, eliminate the irrelevant and redundant features, and improve the classification performance.
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10.1016/j.engstruct.2020.111662
The strategy is independent of the engineered system under investigation and of the damage-sensitive features used to assess the state, as long as only two features per time are analysed by the classifier.
The strategy is independent of the engineered system under investigation and of the damage-sensitive features used to assess the state, as long as only two features per time are analysed by the classifier.
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10.1162/neco_a_01436
Here we compare the information content of 31 variability-sensitive features against the mean of activity, using three independent highly varied data sets.
Here we compare the information content of 31 variability-sensitive features against the mean of activity, using three independent highly varied data sets.
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10.1177/1475921721989577
In addition, a feature selection method based on binary particle swarm optimization with a new fitness function is proposed to select the most damage-sensitive features and eliminate irrelevant and redundant features to improve the classification performance.
In addition, a feature selection method based on binary particle swarm optimization with a new fitness function is proposed to select the most damage-sensitive features and eliminate irrelevant and redundant features to improve the classification performance.
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10.3389/fphys.2021.733264
Sensitive features of parasympathetic activation included features of nonlinear (sample entropy), frequency, and time domains of PRV.
Sensitive features of parasympathetic activation included features of nonlinear (sample entropy), frequency, and time domains of PRV.
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10.1016/J.MEASUREMENT.2021.109558
Therefore, this paper strives to develop fragility curves by using wavelet-based refined damage-sensitive feature (rDSF), considering higher mode contributions.
Therefore, this paper strives to develop fragility curves by using wavelet-based refined damage-sensitive feature (rDSF), considering higher mode contributions.
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10.1145/3451217
The online analysis of multi-way data stored in a tensor has become an essential tool for capturing the underlying structures and extracting the sensitive features that can be used to learn a predi.
The online analysis of multi-way data stored in a tensor has become an essential tool for capturing the underlying structures and extracting the sensitive features that can be used to learn a predi.
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10.3390/APP11020636
The reflected shear waves from the composite interface can act as a sensitive feature to detect the delamination in Cu/Al bimetallic composites.
The reflected shear waves from the composite interface can act as a sensitive feature to detect the delamination in Cu/Al bimetallic composites.
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10.1088/1742-6596/2003/1/012016
The network uses convolutional layers for feature transformation of the raw vibration data, combined with the local time-domain feature representation capability of the gated unit, to extract fault-sensitive features.
The network uses convolutional layers for feature transformation of the raw vibration data, combined with the local time-domain feature representation capability of the gated unit, to extract fault-sensitive features.
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10.3390/s21113777
Employing multiple MSCAs in a cascaded manner, the MSCANet can deeply utilize the spatial context information and modulate preliminary features into more distinguishing and scale-sensitive features, which are finally applied to a 1 × 1 convolution operation to obtain the crowd density results.
Employing multiple MSCAs in a cascaded manner, the MSCANet can deeply utilize the spatial context information and modulate preliminary features into more distinguishing and scale-sensitive features, which are finally applied to a 1 × 1 convolution operation to obtain the crowd density results.
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10.12989/SSS.2021.27.2.351
Vibration data collected by multiple sensors are traditionally used to identify damage-sensitive features (DSFs) in a centralized topology.
Vibration data collected by multiple sensors are traditionally used to identify damage-sensitive features (DSFs) in a centralized topology.
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Keywords related to Sensitive
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Histogram Feature
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