Threshold model and derived signal detection
Model selection uncertainty and detection of threshold effects
... of model following the traditional approach of first selecting an optimal linear autoregression and subsequently testing the latter against a SETAR with the same dynamics in each of its ...true model is a ...
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Improving intrusion detection model prediction by threshold adaptation
... Threshold adaptation approach may not show significant improvement to a model’s accuracy when the testing data exhibits the same statistical properties as the training data. The results of these analyses showed ...
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Automatic Threshold Determination for a Local Approach of Change Detection in Long-Term Signal Recordings
... This new technique of windowing—double thresholds decreases the probability of false alarm especially in the elec- tromyography signals which are long duration signals. This is coming from the fact that the ...
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Integration of observed and model derived groundwater levels in landslide threshold models in Rwanda
... landslide threshold models has considerable potential to improve the quality of landslide predictions towards reliable early warning ...to model the regional groundwater levels based on short durati on ...
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How to choose an Application specific Signal Detection Threshold for TDA523x based ASK Mode Applications
... the Signal Detector is the so-called Matched Data ...incoming signal stream with the expected waveform of Manchester coded bits (0, 1, space, mark) in the defined data ...a Signal Power Output, which ...
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On estimation of the noise variance in a high-dimensional signal detection model
... HIGH-DIMENSIONAL SIGNAL DETECTION MODEL Jianfeng Yao and Damien Passemier Department of Statistics and Actuarial Science - Department of Electronic and Computer Engineering The University of Hong ...
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In vivo detection of teriflunomide-derived fluorine signal during neuroinflammation using fluorine MR spectroscopy
... Teriflunomide (TF) is an anti-inflammatory DMD approved for use in MS that contains a trifluoromethyl group [50]. TF is administered orally once-daily and has a rapid, complete absorption with a long half-life (> 2 ...
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A Model of Rater Behavior in Essay Grading Based on Signal Detection Theory
... the model with five ...GR model as ...SDT model are close in value to the weights used in Gaussian quadrature (as was noted by a reviewer), which is why the GR model, which assumes a normal ...
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Drug effects on memory in the pigeon : analysis using the behavioural model of signal detection
... relationship betReen the sample and comparison stimuli is one of opposites. If a red sample stimulus is presented followed by red and green comparison stimuli, th[r] ...
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Performance Analysis of Optimization Threshold and Fixed Threshold in Energy Detection for Cognitive Radio
... energy detection scheme. Analytically, determining the sample signal x(n) is reduced to an identification problem, formalized as an hypothesis test; H 0 and H 1 ...the signal, represented ...
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The Role of Signal Detection in Pharmacovigilance
... Drugs differ quite a lot in terms of drug exposure, both qualitatively and quantitatively. This depends on indication(s), patterns of use and healthcare policies in the countries where those drugs are marketed. We showed ...
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Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two- Dimension Domain
... fault detection and diagnosis methods for induction motors are wide such as current spectrum analysis, vibration analysis and acoustic analysis for different types of motor fault identification [7] to ...fault ...
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Signal Detection C H A P T E R SIGNAL DETECTION AS HYPOTHESIS TESTING
... detector threshold is again chosen based on the likelihood ratio ...received signal including additive ...of threshold for the likelihood ratio test is ...
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Twitter Spam Detection Based on Spot Algorithm Using Count Threshold and Percentage Threshold
... spam detection in ...SPOT detection algorithm takes the sender machine IP address and sends only the non-spam messages to the ...(Count Threshold) is based on the number of spam messages and PT ...
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Estimating the Lactate Threshold Using Wireless Near-Infrared Spectroscopy and Threshold Detection Analyses
... wavelengths of 680, 720, 760, and 800 nanometers (11). The NIRS sensor was placed midway between the anterior superior iliac spine and the proximal patella over the dominant leg’s vastus lateralis and data was sampled at ...
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Signal Contamination Model for Adaptive Detection Performance of Local Anomalies in Hyper-spectral Images
... Keywords: Covariance corruption, Hyper-spectral imaging, Signal contamination, Local anomaly detection I. I NTRODUCTION The electromagnetic spectrums are used to collect and process information of spectral ...
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Autonomous Road Surveillance System: A Proposed Model for Vehicle Detection and Traffic Signal Control
... The developed Autonomous Video Surveillance System for the purpose of object detection and tracking was successfully tested in the real environment. Inspiring result was found in the field of security application. ...
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Spatial CUSUM for Signal Region Detection
... spatial signal detection method, SCUSUM, which could accommodate the local spatial ...firstly signal weights are estimated by moving window projecting and CUSUM cut-off; then a threshold is ...
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Subliminal stimulation and somatosensory signal detection
... conscious detection (Figure 2A) could be raised ...using signal detection theory. Therefore, threshold adjustments based on stimulus timing cannot account for our ...
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Automatic Weak Signal Detection and Forecasting
... Figure 4: Number of connections in relation to similarity threshold τ. 4.5 Prediction 4.5.1 Classifier training After the full set of topic chains is derived from the individual time-based topic models, and ...
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