Search Results - (( system segmentation method algorithm ) OR ( java implementation mining algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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5
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm
Published 2004“…The watershed segmentation algorithm is a very powerful segmentation tool, but it also has difficulty in segmenting MR images due to noise and shading effect present. …”
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8
Enhanced Clustering Algorithms For Gray-Scale Image Segmentation
Published 2012“…The clustering algorithms are widely used as an unsupervised method for image segmentation in medical diagnosis, satellite imaging and biometric systems. …”
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Novel techniques for enhancement and segmentation of acne vulgaris lesions
Published 2013“…In addition, sensitivity and specificity are calculated for the segmentation results. The proposed segmentation method shows higher sensitivity and specificity than other methods. …”
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Citation Index Journal -
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Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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Breast Ultrasound Automated ROI Segmentation with Region Growing
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Conference or Workshop Item -
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Sobel And Canny Edges Segmentations For The Dental Age Assessment
Published 2024“…Result showed Sobel method was able to segment all the teeth area and remove the noise on the x-ray image while Canny algorithm was not able to segment all the teeth area especially incisors. …”
Proceedings Paper -
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Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TSNKM)
Published 2016“…Currently, there are several segmentation techniques which have been used in object identification such as thresholding and clustering techniques.However, the conventional techniques have difficulties in segmenting fruit images which captured under natural illumination due to the existence of non-uniform illumination on the object surface.The presence of different illuminations influences the appearance of the interest objects and thus misleads the object analysis.Therefore, this research has produced an innovative segmentation algorithm for fruit images which is able to increase the segmentation accuracy.The developed algorithm is an integration of modified thresholding and adaptive K-means method.The integration of both methods is required to increase the segmentation accuracy for fruits images with different surface colour.The results showed that the innovative method is able to segment the fruits images with high accuracy value.…”
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Computer-aided acute leukemia blast cells segmentation in peripheral blood images
Published 2015“…Accurate blast cells segmentation is the initial stage in building a successful computer-aided diagnosis system. …”
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…Besides, from the results of validation of the system algorithm, it is proven that the DIS system algorithm is also suitable to be used on the measured areal surface topography of bumps features to segment and isolate the synthesized edges from its surrounding. …”
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Thesis -
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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
Published 2024“…The integration of the BHA with the Hough transforms and Canny edge detector is the main method by which the iris segmentation is accomplished. …”
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Quranic diacritic and character segmentation and recognition using flood fill and k-nearest neighbors algorithm
Published 2019“…The diacritic detections are performed using a region-based algorithm with 89% accuracy and 95% improved by using flood fill segmentations method. 2DMED feature extraction accuracy was 90% for diacritics and 96% improved by applied CNN. …”
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Thesis -
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