Search Results - (( java implementation learning algorithm ) OR ( using using mach algorithm ))

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  1. 1

    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

    Base pressure control through micro jets at supersonic Mach numbers using experimental and machine learning approach by Aabid, Abdul, Khan, Sher Afghan, Yasir, Javed

    Published 2026
    “…Experiments were conducted using duct diameters of 16 mm, 18 mm, 22 mm, and 25 mm, a level of expansion, the Nozzle pressure ratio ranging from 3 to 11, Mach numbers (1.25, 1.3, 1.48, 1.6, 2.0, and 3.0), and length-to-diameter ratios. …”
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  3. 3

    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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    Conference or Workshop Item
  4. 4

    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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  5. 5

    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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  6. 6

    Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD by Quadros, Jaimon Dennis, Khan, Sher Afghan

    Published 2020
    “…The importance of input parameters influencing base pressure was estimated by using the ANN weight coefficients. Mach number obtained relative importance of 47.16% claiming to be the most dominating factor.…”
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  7. 7

    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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  8. 8

    CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers by Jaimon, Dennis Quadros, Khan, Sher Afghan, Prashanth, T.

    Published 2022
    “…Numerical analysis of the flow process was carried out using the computational fluid dynamics (CFD) technique and was validated by experiments. …”
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  9. 9

    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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    Prediction of base pressure in a suddenly expanded flow process at supersonic mach number regimes using ANN and CFD by Quadros, Jaimon Dennis, Khan, Sher Afghan

    Published 2020
    “…The importance of input parameters influencing base pressure was estimated by using the ANN weight coefficients. Mach number obtained a relative importance of 47.16% claiming to be the most dominating factor. © Isfahan University of Technology.…”
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  12. 12

    Combined Effect Of Incidence - Forebody Angles on the Flow Structure Inside Spiked Supersonic Intakes by Al-Kayiem, Hussain H., Salih, T. W.

    Published 2008
    “…In house program is built to solve the governing sets of equations by using SIMPLE algorithm. The analyses are carried out at incidence angles ranging from 0o to 10o and forebody angles ranging from 6o to 25o. …”
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  13. 13

    Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

    Published 2022
    “…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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    Academic Exercise
  14. 14

    Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion by Duraikannan, Shankar

    Published 2017
    “…Radio over Fiber (RoF) using Mach Zehnder Modulator (MZM) is the most widely adapted architecture for mm-wave generation. …”
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  15. 15

    Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models by Quadros, Jaimon Dennis, Khan, Sher Afghan, Aabid, Abdul, Baig, Muneer

    Published 2023
    “…The data for training and testing the algorithms was derived using the regression equation developed using the Box-Behnken Design (BBD). …”
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    Solution of Navier-Stokes equations by fourth-order compact schemes and AUSM flux splitting by Mawlood M.K., Basri S., Asrar W., Omar A.A., Mokhtar A.S., Ahmad M.M.H.M.

    Published 2023
    “…The developed method is then used to compute some example laminar flow problems. …”
    Article
  18. 18

    Base drag estimation in suddenly expanded supersonic flows using backpropagation genetic and recurrent neural networks by Jaimon, Dennis Quadros, Prashanth, T., Khan, Sher Afghan

    Published 2022
    “…Neural network-controlled backpropagation and recurrent and genetic algorithms have been employed to carry out the forward and reverse mapping trials. …”
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    A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

    Published 2017
    “…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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