Search Results - (( java implementation bat algorithm ) OR ( quality function graph algorithm ))

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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  2. 2
    A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network

    A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Che, Yahaya, Roslina, Abdul Hamid

    Published 2018
    “…Recent high-throughput experiments have generated protein-protein interaction data on a genomic scale, yielding the complete protein-protein interaction network for several organisms. Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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  3. 3
    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…To address this issue, this study incorporated joint graph learning from the gmc algorithm into swmcan, creating a new algorithm called swmcan-jg. …”
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    Thesis
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  4. 4
    Transitive fuzzy similarity multigraph-based model for alternative clustering in multi-criteria group decision making problems

    Transitive fuzzy similarity multigraph-based model for alternative clustering in multi-criteria group decision making problems by Khameneh, Azadeh Zahedi, Kilicman, Adem, Md Ali, Fadzilah

    Published 2022
    “…A numerical example is discussed to demonstrate the performance of the designed clustering algorithm. The quality of resultant clusters is also evaluated through density and entropy functions.…”
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  5. 5
    A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network

    A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Roslina, Abd Hamid

    Published 2015
    “…Recent high-throughput experiments have generated protein-protein interaction data on a genomic scale, yielding the complete protein-protein interaction network for several organisms. Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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    Conference or Workshop Item
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  6. 6
    An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning

    An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning by Islam, Md Kamrul

    Published 2019
    “…The result shows that in case of changing the values of parameters the cluster quality deviates by a very small amount (<1%). These results prove the superiority of BOCEDS algorithm over the existing clustering algorithms. …”
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  7. 7
    Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring

    Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring by Amar Lokman, Wan Zakiah Wan Ismail, Nor Azlina Ab Aziz, Anith Khairunnisa Ghazali

    Published 2026
    journal::journal article
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  8. 8
    Fuzzy methodologies for automated University timetabling solution construction and evaluation

    Fuzzy methodologies for automated University timetabling solution construction and evaluation by Asmuni, Hishammuddin

    Published 2008
    “…New algorithms to calculate what is loosely termed the lower limits and upper limits of the proximity cost function for any problem instance are also presented. …”
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  9. 9
    Recommendation System Model For Decision Making in the E-Commerce Application

    Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

    Published 2024
    thesis::doctoral thesis
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  10. 10
    Artificial neural network: physico-chemical and macronutrients in an aquaponic system / Qistina Khadijah Abd Rahman

    Artificial neural network: physico-chemical and macronutrients in an aquaponic system / Qistina Khadijah Abd Rahman by Abd Rahman, Qistina Khadijah

    Published 2020
    “…Then, the best algorithms will be selected in a variety of neuron numbers of the ANN’s model. …”
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    Student Project
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  11. 11
    Artificial neural network: physico-chemical and macronutrients parameters in an aquaponic system / Qistina Khadijah Abd Rahman, T.s Mohamed Syazwan Osman and Dr Samsul Setumin

    Artificial neural network: physico-chemical and macronutrients parameters in an aquaponic system / Qistina Khadijah Abd Rahman, T.s Mohamed Syazwan Osman and Dr Samsul Setumin by Abd Rahman, Qistina Khadijah, Osman, Mohamed Syazwan, Setumin, Samsul

    Published 2020
    “…Then, the best algorithms will be selected in a variety of neuron numbers of the ANN’s model. …”
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  12. 12
    In Silico And In Vivo Analysis Of Otu Deubiquitinases Otub1, Otub2 And Otulin Protein-protein Interactions

    In Silico And In Vivo Analysis Of Otu Deubiquitinases Otub1, Otub2 And Otulin Protein-protein Interactions by Zulkifli, Nur Wahida

    Published 2023
    “…First, a DUBs interactome was built on Cytoscape ver 3.9.1 using data from IMEx database and analysed using various graph theory algorithms. The DUBs interactome consisted of 3,406 nodes and 4,982 edges, whereas a cancer protein subnetwork extracted from the interactome revealed that DUBs are significant in cancer biology. …”
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  13. 13
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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