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  1. 1
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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  2. 2
    The graph heuristic with great deluge algorithm to solve the ITC2007 examination timetabling problem

    The graph heuristic with great deluge algorithm to solve the ITC2007 examination timetabling problem by Chuan, Wei Kiat

    Published 2014
    “…This dataset contains of total of twelve dataset which have different features (i.e. number of room, exam and timeslot). The graph heuristic with great deluge algorithm will be used to solve this problem. …”
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  3. 3
    Design and analysis of DNA fragment assembly's converter and checker modules using De Bruijin Graph / Mohd Shafiq Mohd Helmi

    Design and analysis of DNA fragment assembly's converter and checker modules using De Bruijin Graph / Mohd Shafiq Mohd Helmi by Mohd Helmi, Mohd Shafiq

    Published 2012
    “…The algorithm used to construct the module is Bruijn Graph. …”
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  4. 4
    Design and analysis of DNA fragment assembly's converter and checker modules using De Bruijin Graph : article / Mohd Shafiq Mohd Helmi

    Design and analysis of DNA fragment assembly's converter and checker modules using De Bruijin Graph : article / Mohd Shafiq Mohd Helmi by Mohd Helmi, Mohd Shafiq

    Published 2012
    “…The algorithm used to construct the module is Bruijn Graph. …”
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  5. 5
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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  6. 6
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  7. 7
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  8. 8
    Stereo Matching Algorithm Based On Per Pixel Difference Adjustment, Iterative Guided Filter And Graph Segmentation

    Stereo Matching Algorithm Based On Per Pixel Difference Adjustment, Iterative Guided Filter And Graph Segmentation by Hamzah, Rostam Affendi, Ibrahim, Haidi, Abu Hassan, Anwar Hasni

    Published 2017
    “…The undirected graph segmentation is used at the last stage in order to smoothen the low textured areas. …”
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  9. 9
    Modeling of static and dynamic components of bio-nanorobotic systems

    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…In this technique, the graph-based structural models of the fullerenes are proposed using their real structural information. …”
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  10. 10
    A New Cell Formation Method Considering Operation Sequences And Production Volumes

    A New Cell Formation Method Considering Operation Sequences And Production Volumes by Abedini, Panteha

    Published 2013
    “…The graph theory was employed to develop the algorithm. …”
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  11. 11
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…Banking on this, region labeling assigns the labels of either background or foreground region based on a proposed graph coloring algorithm, which considers trajectory-based features. …”
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  12. 12
    Combinatorial structure associated with low-dimensional filiform leibniz algebras

    Combinatorial structure associated with low-dimensional filiform leibniz algebras by Ahmad Jamri, Ayu Ameliatul Shahilah

    Published 2017
    “…Besides that, an algorithm will be used on association the combinatorial structures with the isomorphism classes of FLbn(K) and SLbn(K). …”
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  13. 13
    Partial examination assignment approaches for solving examination timetabling problems

    Partial examination assignment approaches for solving examination timetabling problems by Mandal, Ashis Kumar

    Published 2016
    “…This thesis presents partial examination assignment approaches to address the examination timetabling problem. The proposed algorithms work by first ordering all examinations using graph heuristics ordering strategies. …”
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  14. 14
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    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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  15. 15
    A hybrid local search algorithm for minimum dominating set problems

    A hybrid local search algorithm for minimum dominating set problems by Abed, S.A., Rais, H.M., Watada, J., Sabar, N.R.

    Published 2022
    “…This algorithm focuses on generating promising solutions in different areas of the solution space using the problem search history. …”
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  16. 16
    A hybrid local search algorithm for minimum dominating set problems

    A hybrid local search algorithm for minimum dominating set problems by Abed, S.A., Rais, H.M., Watada, J., Sabar, N.R.

    Published 2022
    “…This algorithm focuses on generating promising solutions in different areas of the solution space using the problem search history. …”
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  17. 17
    Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin

    Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin by Baharuddin, Ramizah

    Published 2021
    “…The third estimate is obtained by using the tangent line of f (x) at the second estimate. …”
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  18. 18
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  19. 19
    Constructing population of initial solutions for curriculum – based course timetabling problem

    Constructing population of initial solutions for curriculum – based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

    Published 2012
    “…All settings of heuristics are then tested on the same curriculum - based problem instances and are compared with each other in terms of number of population produced. The results can be used for improvement phase which are the second phase of UCTP. …”
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  20. 20
    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification

    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

    Published 2023
    “…The ant colony optimisation (ACO) algorithm have been used to select feature subset. …”
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