Search Results - (( java application mining algorithm ) OR ( problem segmentation model algorithm ))
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Direct approach for mining association rules from structured XML data
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Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
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An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…Hence, based on the aforementioned problems, the optimization algorithm methods played an important role in addressing these problems. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model
Published 2021“…Image enhancement and segmentation is widely used for fingerprint identification and authorization in biometrics devices, criminal scene is most challenges due to low quality of fingerprint , the most significant efforts is to develop algorithm for latent fingerprint enhancement which become challenging problem due to the complex and existing problem for instance, developing algorithms of latent fingerprint is able to extract features of image blocks and removing overlapping and isolate the poor and noisy background. however, it's still challenging and interested problem specifically latent fingerprint enhancement and segmentation . …”
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Model-based hybrid variational level set method applied to lung cancer detection
Published 2024“…This enhanced algorithm proves advantageous for addressing real-world image segmentation problems and nodules detection challenges.…”
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COMPUTERIZED SEGMENTATION OF SINUS IMAGES
Published 2009“…This work attempts to solve this problem by developing an algorithm for the computerized segmentation of sinus images for the detection and grading of' sinusitis. …”
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Final Year Project -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Human face detection using skin color segmentation and watershed algorithm
Published 2017“…Moreover, a new framework for efficient face detection using skin color segmentation is proposed. The process involves transforming the face images from RGB to the selected color models; then segmentation is carried out by selecting a threshold value for each of the color models. …”
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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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Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
Published 2016“…An algorithm to segment the deform area has been developed. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…Therefore, another segmentation method has been developed to address the problem. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm
Published 2019“…It also enhances the performance of coronary artery segmentation methods in angiography by solving the problem of overlapping vessels. …”
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Using Bimodal Gaussian Mixture Model-Based Algorithm for Background Segmentation in Thermal Fever Mass Screening
Published 2011“…In this paper, an algorithm based on Gaussian Bi -modal Mixture Models (GBMM) is proposed for background-foreground segmentation as an important feature to identify medial canthal area. …”
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A feature-based approach for segmenting faces
Published 2004“…In this paper, we propose a feature-based algorithm for segmenting faces that is sufficiently generic and is also easily extensible to cope with more demanding variations of the imaging conditions. …”
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Automated visual defect detection using deep learning
Published 2022“…Model analysis and evaluation are performed to compare the performance of all the algorithms in a variety of aspects. …”
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Final Year Project / Dissertation / Thesis
