Search Results - (( seri visual ((basic algorithm) OR (based algorithm)) ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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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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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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Conference or Workshop Item -
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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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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Real time vein visualization using near-infrared imaging
Published 2020“…Therefore, the real time vein visualization system is developed accordance with the objective of visualizing subcutaneous veins which is to assist medical practitioners by providing them visual guidance during venipuncture process. …”
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Conference or Workshop Item -
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Parallel computation of maass cusp forms using mathematica
Published 2013“…Our parallel programme comprises of two important parts namely the pullback algorithm and also the Maass cusp form algorithm. The latter is developed using an adapted algorithm of Hejhal and Then which is based on implicit automorphy and finite Fourier series. …”
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Stock price monitoring system
Published 2024“…As stock price is time series data, a time series prediction algorithm is being utilized to build a deep learning model, namely Long Short-Term Memory (LSTM). …”
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Final Year Project / Dissertation / Thesis -
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HELM based Reinforcement Learning for Goal Localization
Published 2016“…In this paper, reinforcement learning method was utilized to find optimal series of actions to localize the goal region. The visual data, a set of images, is high dimensional unstructured data and needs to be represented efficiently to get a robust detector. …”
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Proceeding Paper -
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Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
Published 2008“…In developing the visualization tool, visualization algorithm was used by employing the morphing technique which uses parametric equation. …”
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Thesis -
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Square groove detection based on Förstner with canny edge operator using laser vision sensor
Published 2023“…Based on the central line, the Förstner algorithm is used to recognize the corner points of the square weld groove. …”
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Article -
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Square groove detection based on forstner with canny edge operator using laser vision sensor
Published 2023“…In 1his work, the central line of the laser stripe is extracted based on Canny edge detection with Haralicks fucet model Based on 1he central line, 1he Forstner algorithm is used to recognize 1he comer points of 1he square weld groove. …”
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Fuzzy qualitative human motion analysis
Published 2009“…It achieves feasible computational cost for human motion recognition by combining fuzzy qualitative robot kinematics with human motion tracking and recognition algorithms. First, a data-quantization process is proposed to relax the computational complexity suffered from visual tracking algorithms. …”
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Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
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Thesis -
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A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials
Published 2011“…Visual evoked potentials are conventionally extracted from the spontaneous brain activity by collecting a series of time-locked electroencephalogram (EEG) epochs and performing multi-trial ensemble averaging on these samples to improve the SNR. …”
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Conference or Workshop Item -
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