Threshold Algorithm for the Sstochastic Model
Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)
... Unified Threshold model of Survival (GUTS) provides a consistent mathemati- cal framework for survival ...novel algorithm and its fast implementation in our R package, GUTS, that help to overcome ...
19
Twitter Spam Detection Based on Spot Algorithm Using Count Threshold and Percentage Threshold
... SPOT algorithm deletes tweets having spam in an ...detection algorithm to detect each and every tweet for spam and uses filter to classify the ...Count Threshold (CT) is used to count the total ...
9
Novel Algorithm for Threshold Selection in Pattern Recognition Applications
... article, threshold selection is done on the basis of different entropy measures on both gray scale and color ...appropriate threshold value for the purpose of image ...The threshold values obtained ...
7
Study on Automatic Threshold Selection Algorithm of Sensor Images
... Extension Algorithm – An Improved Otsu Algorith The Otsu Algorithm has been widely used, but it has been found that the fatal flaw of which is when the difference between the target and the background ...
7
Target Detection in Images Using Dynamic Threshold Algorithm
... VI. CONCLUSION In this paper an effective method for target detection in images using dynamic threshold algorithm is proposed. This method can be used as an alternative to the traditional segmentation ...
5
Application of Dynamic Threshold in a Lake Ice Detection Algorithm
... dynamic threshold technique is proposed to identify and map lake ice cover in the imagery of GOES-I to P series ...dynamic threshold can be used as an alternative solution to Bidirectional Reflectance ...
10
Frequentist model averaging for threshold models
... TAR model averaging, one could allow the largest lag order of the TAR model to be unbounded ...jackknife model averaging (JMA) estimator under heteroscedastic error settings, and Zhang et ...a ...
36
Analysis of a queueing model with service threshold
... queueing model in which service time of customers is modified depending on the class to which the customers ...The model represents situations such as when the system requires a warm up time from a cold ...
25
The threshold of a stochastic SIQS epidemic model
... Full list of author information is available at the end of the article Abstract In this paper, we discuss the dynamics of a stochastic SIQS epidemic model. When the noise is large, the infective decays ...
15
The algorithm of Bayesian estimation of maternal genetic and permanent maternal environmental variances in a two trait binary threshold model
... In recent years significant reconstructions have been done in the programs of genetic improvement of farm animals. Although long-term selection for the improvement of production traits has reached the assumed objectives, ...
6
THRESHOLD SEGMENTATION USING MODIFIED 2D OTSU PSO ALGORITHM
... fixed threshold and Otsu threshold with PSO were ...well-organized algorithm and it is known as modified 2-D Otsu PSO ...proposed algorithm works better than the previous ...
9
Incremental algorithm for association rule mining under dynamic threshold
... changing threshold is a long-standing problem within the data mining ...the threshold is indeed ...an algorithm that resolves the issue of rescanning a database that had been mined previously and ...
22
Resolution Threshold Analysis of MUSIC Algorithm in Radar Range Imaging
... resolution threshold from DOA into radar range imaging, and determine whether two adjacent targets could be distinguished by analyzing the null spectrum ...MUSIC algorithm, which means that when both of ...
25
Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation
... The Otsu mеthod was onе of thе bеttеr thrеshold sеlеction mеthods for gеnеral rеal world imagеs with rеgard to uniformity and shapе mеasurеs. Howеvеr, bеcausе of thе onе-dimеnsional naturе of this algorithm which ...
58
Development of Adaptive Threshold and Data Smoothening Algorithm for GPR Imaging
... curvelet threshold, Edge Histogram Descriptor threshold, Otsu thresholding, recursive thresholding and adaptive progressive ...the threshold decision is a critical ...adaptive threshold ...
10
Sensitivity and Specificity of Swedish Interactive Threshold Algorithm and Standard Full Threshold Perimetry in Primary Open-angle Glaucoma
... In conclusion, the SITA Fast strategy has higher sensitivity for glaucoma diagnosis compared to the SFT strategy, with considerably shorter test duration; however, their GSP, TDP, and PDP are distinct. With this in mind, ...
5
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 ...
26
A bidomain threshold model of propagating calcium waves
... the threshold-release framework is somewhat more idealized than the more conventional approach to modelling Ca 2+ release by including gating variables for the activation and inactivation of intracellular Ca 2+ ...
24
Dependent insurance risk model: deterministic threshold
... This paper considers a dependent insurance risk model. We assume that the inter-arrival time depends on the previous claim size through a deterministic threshold structure. Adjustment coefficient and ...
22
Threshold Dynamics of the Stochastic SIRC Epidemic Model
... the model description in Section ...chastic model is asymptotically stable and is oscillating around the endemic equilibrium of the deterministic model when t → ∞ ...
20