Search Results - (( java implementation clustering algorithm ) OR ( using complex computer algorithm ))
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Conference or Workshop Item -
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Thesis -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
4
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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Thesis -
5
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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Final Year Project -
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Computational complexity reduction for MIMO-OFDM channel estimation algorithms
Published 2007“…In addition, the high performance channel estimation algorithms mostly suffer from high computational complexity. …”
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Article -
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A Faster External Sorting Algorithm Using No Additional Disk Space
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Article -
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Comparison of performance and computational complexity of nonlinear active noise control algorithms
Published 2011“…However, the relative performance and computational complexities of these algorithm in comparison to FXLMS algorithm have not been carefully studied. …”
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An alternative approach to normal parameter reduction algorithms for decision making using a soft set theory / Sani Danjuma
Published 2017“…The proposed algorithm showed that it can reduce the computational complexity and run time compared to baseline algorithms. …”
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Thesis -
14
New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems
Published 2019“…Secondly, two novel algorithms, Grouping Complex iterations algorithm (G-C-PTS), and Gray Code Phase Factor algorithm (Gray-PF-PTS) have been developed to reduce the computational complexity for finding the optimum phase rotation factors in the time domain part of the PTS structure. …”
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15
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…This work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. …”
Conference paper -
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Dynamic determinant matrix-based block cipher algorithm
Published 2018“…From the result of the analysis, it has been justified that the proposed DDBC algorithm can be considered as one of the secure symmetric block cipher and can be used as an alternative to other cryptographic algorithm in computer security research area.…”
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Thesis -
17
Modified anfis architecture with less computational complexities for classification problems
Published 2018“…Even though it has been widely used, ANFIS architecture still has a drawback of computational complexities. …”
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Thesis -
18
Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…This thesis presents a local-based stereo matching algorithm to increase the accuracy on complex regions. …”
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Thesis -
19
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…Adopting the medoid instead of the mean can enhance the efficiency. However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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Thesis -
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