Search Results - (( java application mining algorithm ) OR ( features extraction utilizing algorithm ))
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Direct approach for mining association rules from structured XML data
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Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification
Published 2023“…One of the widely used algorithms for feature selection in text classification is the Evolutionary algorithm . …”
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Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification
Published 2017“…Feature extraction techniques based on global feature extraction such as Principle Component Analysis (PCA) were implemented. …”
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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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A Comparative Analysis of Feature Extraction Algorithms for Augmented Reality Applications
Published 2021“…Feature extraction and matching algorithms are used in many computer vision problems, including object recognition and structure from motion. …”
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Proceeding Paper -
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Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan
Published 2014“…The hand gesture image is passed through three stages, namely, pre-processing, feature extraction, and classification. In the pre-processing stage some operations are applied to extract the hand gesture from its background and prepare the hand gesture image for the feature extraction stage. …”
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A fast feature extraction algorithm for image and video processing
Published 2019“…We compared the proposed method with the traditional approach of feature extraction using a standard image technique. …”
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Conference or Workshop Item -
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Fuzzy based technique for microchip lead inspection using machine vision
Published 2008“…Using the features extracted, the algorithm first finds a proper thresholding value. …”
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Proceeding Paper -
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Stability and reproducibility of radiomic features based various segmentation technique on MR images of Hepatocellular Carcinoma (HCC)
Published 2021“…Radiomic features extracted using semi-automatic segmentation utilized flood filling algorithm from 3D-slicer had significantly higher reproducibility (average ICC = 0.952 ± 0.009, p < 0.05) compared with features extracted from manual segmentation (average ICC = 0.897 ± 0.011, p > 0.05). …”
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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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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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Fast temporal video segmentation based on Krawtchouk-Tchebichef moments
Published 2020“…To increase the speed of the TVS algorithm as well as the accuracy, fast block processing and embedded orthogonal polynomial algorithms are utilized to extract features. …”
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APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN
Published 2011“…We consider our semi-supervised approach as a promising method even though only two features are utilized: syntactical and word features. …”
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Thesis -
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In addition, this thesis tackles the feature selection problem by designing a novel wrapper feature selection method based on the Hybrid Flower Pollination Algorithm (HFPA). …”
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Integration Of Fingerprint Centre Point Location And Principal Component Analysis For Fingerprint Verification
Published 2005“…Fingerprint Feature Extraction Is Obtained With Respect To The Cp Of The Fingerprint Directional Field. …”
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An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
Published 2020“…No preprocessing method was required while feature extraction was combined with classification. …”
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