Results & Analysis of the 2D Detection Algorithm
Techniques and Algorithm for Clone Detection and Analysis
... novel algorithm which takes two clone fragments as a input that are noticed from the several tool plus it pertains next three stages in order to verify that they can be re-factored with no several part causes or ...
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Semi-automatic detection and segmentation algorithm of saccular aneurysms in 2D cerebral DSA images
... Semi-automatic algorithm for detection and segmentation of cerebral saccular aneurysms in 2D DSA images has been devel- ...of algorithm is 89.47% and positive predictive value is 80.95%. ...
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Automated detection of near falls: algorithm development and preliminary results
... scale may limit sensitivity and the ability to evaluate intervention efficacy). Different techniques have been developed to automati- cally identify falls and related measures with varying degrees of success using ...
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Analysis of Data mining Algorithm in Intrusion Detection
... high detection rate (DR) unknown attacks, but makes many false positives ...the detection system technology. The current adaptive intrusion detection is designed to address large amounts of data in ...
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X-ray strain analysis in thin films enhanced by 2D detection
... necessary results for orientation studies and to accomplish the mechanical behaviour analysis in a reasonably cost-effective time frame, two-dimensional detectors are an appropriate solution ...materials ...
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Emc Analysis Of Pcb And Waveguide Structures Using 2d Parallel Tlm Algorithm
... F ¸igure 4.5: Z vs Frequency at (12,12) compared with the analytically calculated values to validate the results. Figure 4.5 shows the Z vs. Frequency. Solving in parallel environment reduces the computational ...
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Faults and fractures detection in 2D seismic data based on principal component analysis
... components analysis to enhance faults and fractures from low quality seismic ...component analysis produce a higher quality ...Iran. Results of the proposed strategy show that this method is capable ...
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Detection and Analysis of Crime Patterns using Apriori Algorithm
... widely used in many industries. In this paper we use data mining technique to analyze and predict the crime patterns using apriori algorithm. This paper also reviews the literatures on various data mining ...
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Performance analysis of energy detection algorithm in cognitive radio
... energy detection algorithm for spectrum sensing in cognitive radio by drawing the curves between probability of false alarm ...of detection, SNR vs. probability of detection and the ...
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Modified Watershed Algorithm for Segmentation of 2D Images
... scene analysis and image ...segmented results are very useful for the analysis, predication and diagnoses (Segmentation (image processing), ...
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ANALYSIS OF MUSIC AND ROOT MUSIC ALGORITHM FOR DOA FOR IMPLEMENTATION OF 2D MIMO RADAR ESTIMATIONS
... CRF) is applied to show it’s dramatically enhancements inter of DF. MIMO radars sophisticated advantage are illustrated in J. Li and Stoica (2007). A evaluation between the ordinary radar and MIMO radar has been finished ...
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Efficient AMP decision and search range adjustment algorithm for HEVC
... prediction algorithm for improving HEVC ...Experimental results demonstrate that the proposed algorithm is able to save coding time significantly both under RandomAccess and Lowdelay P ...
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R-SpamRank a Spam Detection Algorithm Based on Link Analysis
... an algorithm to assign spam values to web pages and semi-automatically select potential spam web ...the algorithm is highly successful in identifying spam pages, which gains a precision of ...
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Analysis on Regression Algorithm with Surf Feature and SVM by Emotion Detection
... Recently, interest has been growing among researchers to find ways of detecting subjective information used in images and videos. These six basic emotions are namely, happiness, sadness, surprise, fear, disgust and ...
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Research and analysis of Image edge detection algorithm Based on the MATLAB
... edge detection is one of the important contents of image ...edge detection operator, which is ...online detection. The experiment results show that the effect for image processed by Log_Sobel ...
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Performance analysis of ANN based YCbCr skin detection algorithm
... from Cr and Cb remains effective in isolating skin region irrespective of skin-color variation. However, further analysis have shown that this method is illumination and race dependent. The use of only the Cb and ...
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Performance Analysis of ANN based YCbCr Skin Detection Algorithm
... from Cr and Cb remains effective in isolating skin region irrespective of skin-color variation. However, further analysis have shown that this method is illumination and race dependent. The use of only the Cb and ...
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Crowdsourcing Fraud Detection Algorithm Based on Psychological Behavior Analysis
... Abstract. This paper present a new crowdsourcing fraud detection method based on psychological behavior analysis. We apply Ebbinghaus forgetting curve to find out the spammer according to the psychological ...
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Robust and Efficient Fully Parallel 2D Thinning Algorithm
... image analysis and pattern recognition ...but results in extra spurs due to the presence of unwanted ...thinning algorithm for 2D binary ...
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An Algorithm for Image Compression Using 2D Wavelet Transform
... A data sequence, which Embeds redundancy, can be presented more compactly if the redundancy is removed by means of a suitable transform. An appropriate transform should match the statistical characteristic of the data. ...
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