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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
    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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  3. 3
    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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  4. 4
    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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  5. 5
    Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset

    Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset by Thamer Khalil, Esmeel, Roslina, Abd Hamid, Rahmah, Mokhtar

    Published 2019
    “…Study confirm is to categorize data and help users mining useful data and easily identify an appropriate algorithm for an accurate predictive model, to access the best-performing algorithms, minimize errors and minimum time to build models through the Explorer interface and Experimental Environment Interface to get accurate.…”
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  6. 6
    The role of the interface and interface management in the optimization of BIM multi-model applications: a review

    The role of the interface and interface management in the optimization of BIM multi-model applications: a review by Hmidah, Nawal Abdunasseer, Haron, Nuzul Azam, Alias, Aidi Hizami, Law, Teik Hua, Altohami, Abubaker Basheer Abdalwhab, Raja Ahmad Effendi, Raja Ahmad Azmeer

    Published 2022
    “…This review targets the BIM interface, the BIM multi-model approach, and the role of employing algorithms in BIM optimization to introduce the need for automation in the BIM technique, instead of complicating manual procedures in order to reduce possible errors. …”
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  7. 7
    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces

    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

    Published 2009
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  8. 8
    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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  9. 9
    DC motor control using LQR algorithm

    DC motor control using LQR algorithm by Adezeno, Sagoli Olid

    Published 2008
    “…An application in Matlab called Simulink is used as tools for algorithm implementation. Simulink is chosen due to its block diagram implementation and its creation of user interface which allowing interfacing with programs in others languages. …”
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  10. 10
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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  11. 11
    Improving classification of EEG signals for a four-state brain machine interface

    Improving classification of EEG signals for a four-state brain machine interface by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Abdul Hamid, Adom, Prof. Dr.

    Published 2013
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  12. 12
    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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  13. 13
    Parallel Homologous Search With Hirschberg Algorithm: A Hybrid MPI-Pthreads Solution.

    Parallel Homologous Search With Hirschberg Algorithm: A Hybrid MPI-Pthreads Solution. by Abdul Rashid, Nur'Aini, Abdullah, Rosni, Hj. Talib, Abdullah Zawawi

    Published 2007
    “…In this paper, we apply two different parallel programming model, the message passing model using Message Passing Interface (MPI) and the multithreaded model using Pthreads, to-protein sequence homologous search. …”
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  14. 14
    Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models: Predicting crop yields using a new robust Bayesian averaging model

    Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models: Predicting crop yields using a new robust Bayesian averaging model by Bazrafshan O., Ehteram M., Dashti Latif S., Feng Huang Y., Yenn Teo F., Najah Ahmed A., El-Shafie A.

    Published 2023
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  15. 15
    A graphical user interface application for continuous-time identification of dynamical system

    A graphical user interface application for continuous-time identification of dynamical system by Rahmat, Mohd. Fua'ad, Omar, Rosli, Jamaluddin, Hishamuddin

    Published 2002
    “…This paper introduces a Graphical User Interface (GUI) application in system identification and parameter estimation of dynamic systems using Generalized Poisson Moment Functionals (GPMF) method based on Instrumental Variable (IV) algorithm. …”
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  16. 16
    VHDL modeling of EMG signal classification using artificial neural network

    VHDL modeling of EMG signal classification using artificial neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran, Ullah, Mohammad Habib

    Published 2012
    “…VHDL (Very High Speed Integrated Circuit Hardware Description Language) has been used to model the algorithm implemented into the target device FPGA (Field Programmable Gate Array). …”
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  17. 17
    Development of finite element model for soil-structure interaction

    Development of finite element model for soil-structure interaction by Shoaei, Mohammad Dalili

    Published 2014
    “…Since different materials are used in the current SSI problem constitutive models are employed to capture both the linear and nonlinear interactive behavior of all the materials i.e. concrete, steel, soil and interface element. …”
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  18. 18
    Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin

    Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

    Published 2024
    “…The key results encompass dataset preprocessing, Decision Tree classification model training, user interface development, and the evaluation of the Decision Tree model's performance. …”
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  19. 19
    Nonlinear three-dimensional finite elements for composite concrete beams

    Nonlinear three-dimensional finite elements for composite concrete beams by Kohnehpooshi, Omid

    Published 2012
    “…These results show that the new elements, which include Truss-linkage element and interface elements, are effective and appropriate to be used for structural component modelling. …”
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  20. 20
    Incorporation of interference fit and cyclic loading in simulation algorithm for better prediction of micromotion of femoral stems

    Incorporation of interference fit and cyclic loading in simulation algorithm for better prediction of micromotion of femoral stems by Abdul-Kadir, Mohammed Rafiq, Hansen, Ulrich N.

    Published 2007
    “…Based on common physiological loading, micromotion is calculated throughout the bone-implant interface. Press fit stem insertion was modelled using interference fit and cyclic loading was used to better simulate actual loading configuration. …”
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