Search Results - (( based coding ((window algorithm) OR (mining algorithm)) ) OR ( java implication _ algorithm ))
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Chain code algorithm in deriving T-Junction and region of a freehand sketch
Published 2004“…The algorithm is based on 8-connected 3x3 windows of Freeman chain code. …”
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A biological inspired fuzzy adaptive window median filter (FAWMF) for enhancing DNA signal processing
Published 2017“…The algorithm applied to variety of DNA datasets produced noteworthy discrimination between coding and non-coding regions contrary to fixed window length conventional filters. © 2017 Elsevier B.V.…”
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Line clipping based on parallelism approach and midpoint intersection
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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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Agent-based extraction algorithm for computational problem solving
Published 2015“…Additionally, IPO_Agent not only produces the same PAC’s output results, but also generates module number and represents these results in another window. Finally,Algorithm_Agent employs the extracted information provided by IPO_Agent to produce the pseudo-code of the given problem and shows it in separate window. …”
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A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
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Comparative analysis for topic classification in juz Al-Baqarah
Published 2018“…The purpose of this research is classified topic in each verses of the Quran sentence based on its specific theme. It involves the objective of text mining which are based on linguistic information and domain. …”
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A new domain decomposition FDTD technique for simulating electromagnetic penetration into buildings
Published 2005“…The second technique based on hybridizing the Yee algorithm with the higher order FDTD "M3d24" scheme. …”
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Proceeding Paper -
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WIMAX TESTBED
Published 2008“…This project also takes the first few steps of hardware implementation by using Real Time Workshop to convert the Simulink model into C codes which run outside MATLAB. In addition, the Double Sliding Window and Schmid! …”
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Final Year Project -
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On-chip communication system modeling approach for reability analysis focusing on functional failures
Published 2012“…The algorithms were verified and the resultsshow that minimum accuracy of 96% is maintained by applying the proposed crosstalk modeling approach while the number of required simulations is reduced by at least factor of 59% for modeling window sizes bigger than 3. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…A baseline set which is adopted from an established eSense meter value was also coded into the prototype. The data analysis of the both baseline and rule-based prediction sets have shown that there are not many differences between the trend of the positive and negative emotions percentage of both sets. …”
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Improved Malware detection model with Apriori Association rule and particle swarm optimization
Published 2019“…In order to improve the detection rate of malicious application on the Android platform, a novel knowledge-based database discovery model that improves apriori association rule mining of a priori algorithm with Particle Swarm Optimization (PSO) is proposed. …”
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Statistical Approach for Image Retrieval
Published 2007“…This technique, formally known as Image Retrieval Using Statistical-based Approach is based on the idea of grouping pixels with similar colour codes within an image. …”
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A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…It can be applied in data mining exploration and statistical data analysis. …”
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Final Year Project Report / IMRAD -
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Multi-user beamforming, fairness and device-to-device channel state information sharing in downlink non-orthogonal multiple access systems
Published 2021“…The first algorithm is based on integrating the maximum product of effective channel gains and the maximum SIR with the PF principle (PF-MPECG-SIR) to select strong users in the first stage and weak users in the second stage. …”
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An enhanced android botnet detection approach using feature refinement
Published 2019“…The experimental and statistical tests show that 97.28% accuracy achieved by Random Forest machine classifier, it performs well as compared to other classification algorithms. Based on the test results, various open research issues which need to be addressed in future studies are highlighted.…”
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