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Change Detector sentence examples within Universal Change Detector

Universal Change Detector

Based on this concept, we propose a network model consisting of reciprocally coupled neural masses as a blueprint of a universal change detector.

A generic deviance detection principle for cortical On/Off responses, omission response, and mismatch negativity

Universal Change Detector

Based on this concept, we propose a network model consisting of reciprocally coupled neural masses as a blueprint of a universal change detector.

A generic deviance detection principle for cortical On/Off responses, omission response, and mismatch negativity

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Change Detector sentence examples within Gradient Change Detector

Gradient Change Detector

The gradient change detector identifies statistically significant movements in the second derivative series.

Offline-Online Change Detection for Sentinel-1 InSAR Time Series

Gradient Change Detector

The gradient change detector identifies statistically significant movements in the second derivative series.

Offline-Online Change Detection for Sentinel-1 InSAR Time Series

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Change Detector sentence examples within change detector identify

change detector identify

The gradient change detector identifies statistically significant movements in the second derivative series.

Offline-Online Change Detection for Sentinel-1 InSAR Time Series

change detector identify

The gradient change detector identifies statistically significant movements in the second derivative series.

Offline-Online Change Detection for Sentinel-1 InSAR Time Series

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10.22214/ijraset.2021.35670

It may be used as a crash or change detector of the vehicle throughout and when crash.

Automatic Vehicle Accident Detection System

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10.1109/JSYST.2020.3009203

5 cycles of three-phase differential currents registered by a change detector.

Discrimination of Internal Faults and Other Transients in an Interconnected System With Power Transformers and Phase Angle Regulators

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10.1109/TIE.2020.3013747

This task requires a change detector to segment an intruder (foreground object) from the background.

Enhanced Unsupervised Change Detector for Industrial Surveillance Systems

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10.1109/LGRS.2019.2905714

The area of interest is the intertidal zone near Jiangsu, China and two detectors are used, the polarimetric notch filter (PNF) and a change detector that optimizes the ratio between covariance matrices.

Detection of Wind Turbines in Intertidal Areas Using SAR Polarimetry

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10.1007/978-3-030-33778-0_30

Pattern-based change detectors (PBCDs) are non-parametric unsupervised change detection methods that are based on observed changes in sets of frequent patterns over time.

Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks

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10.1109/RIVF.2019.8713738

As our clustering-based change detector does not require detection threshold, it is an automated detector.

Automated Change Detection and Reactive Clustering in Multivariate Streaming Data

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10.1007/s12517-019-4600-0

The APs with higher importances are chosen as input features for change detectors.

Change detection in high-resolution images based on feature importance and ensemble method

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10.1109/BigData47090.2019.9006504

The proposed adaptive sampling approach consists of a recurrent neural network-based change detector that detects the point of frequency change and a local Nyquist rate estimator based on a multi-rate signal processing scheme.

Recurrent Neural Network-Assisted Adaptive Sampling for Approximate Computing

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10.1109/ACCESS.2019.2948859

In the proposed algorithm, a change detector and a change response strategy are used to handle the change of optimization environment.

Improved Dynamic PSO-Based Algorithm for Critical Spare Parts Supply Optimization Under (T, S) Inventory Policy

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Change Detector
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What is/are Change Detector?

Change Detector - It may be used as a crash or change detector of the vehicle throughout and when crash. [1] 5 cycles of three-phase differential currents registered by a change detector. [2] This task requires a change detector to segment an intruder (foreground object) from the background. [3] The area of interest is the intertidal zone near Jiangsu, China and two detectors are used, the polarimetric notch filter (PNF) and a change detector that optimizes the ratio between covariance matrices. [4] Pattern-based change detectors (PBCDs) are non-parametric unsupervised change detection methods that are based on observed changes in sets of frequent patterns over time. [5] As our clustering-based change detector does not require detection threshold, it is an automated detector. [6] The APs with higher importances are chosen as input features for change detectors. [7] The proposed adaptive sampling approach consists of a recurrent neural network-based change detector that detects the point of frequency change and a local Nyquist rate estimator based on a multi-rate signal processing scheme. [8] In the proposed algorithm, a change detector and a change response strategy are used to handle the change of optimization environment. [9]

Universal Change Detector

Based on this concept, we propose a network model consisting of reciprocally coupled neural masses as a blueprint of a universal change detector. [1] Based on this concept, we propose a network model consisting of reciprocally coupled neural masses as a blueprint of a universal change detector. [2]

Gradient Change Detector

The gradient change detector identifies statistically significant movements in the second derivative series. [1] The gradient change detector identifies statistically significant movements in the second derivative series. [2]

change detector identify

The gradient change detector identifies statistically significant movements in the second derivative series. [1] The gradient change detector identifies statistically significant movements in the second derivative series. [2]