Search Results - (( users selection based algorithm ) OR ( java application learning algorithm ))

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  1. 1
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    “…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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  2. 2
    A malware analysis and detection system for mobile devices / Ali Feizollah

    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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    Thesis
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  3. 3
    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
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    Thesis
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  4. 4
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…This is difTerent from existing Interactive Genetic Algorithm in which selection and evaluation of solutions is done by the users. …”
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  5. 5
    Tourist Trip Design Problem with user preference and popularity: a case study of Langkawi Island / Nabilah Anuar Ahmad and Huda Zuhrah Ab. Halim

    Tourist Trip Design Problem with user preference and popularity: a case study of Langkawi Island / Nabilah Anuar Ahmad and Huda Zuhrah Ab. Halim by Anuar Ahmad, Nabilah, Ab. Halim, Huda Zuhrah

    Published 2023
    “…The algorithm will choose POIs based on categories selected by the users. …”
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    Book Section
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  6. 6
    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia

    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…The selection is based on the user preferences since it uses a self-learning algorithm to determine triggers and handover thresholds dynamically. …”
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  7. 7
    A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata

    A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata by Darvishy, Asghar

    Published 2019
    “…A new model in news selection is proposed based on sub-modularity model. …”
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  8. 8
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  9. 9
    Multi-user beamforming, fairness and device-to-device channel state information sharing in downlink non-orthogonal multiple access systems

    Multi-user beamforming, fairness and device-to-device channel state information sharing in downlink non-orthogonal multiple access systems by Abdulhussein, Mohanad Mohammed

    Published 2021
    “…The first algorithm is based on integrating the maximum product of effective channel gains and the maximum SIR with the PF principle (PF-MPECG-SIR) to select strong users in the first stage and weak users in the second stage. …”
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  10. 10
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    “…A new case is retained in the case base for future retrievals. A framework user is allowed to select from a list of features provided by the framework that he or she is interested in learning, and the system will give an example of application related to the selected features. …”
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  11. 11
    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
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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  12. 12
    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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  13. 13
    Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm

    Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm by Tan, Chee Kuan

    Published 2020
    “…This system enables the logistic company to arrange its route to deliver based on the number of trucks selected by the user. …”
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    Final Year Project / Dissertation / Thesis
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  14. 14
    User recommendation algorithm in social tagging system based on hybrid user trust

    User recommendation algorithm in social tagging system based on hybrid user trust by Mustapha, Norwati, Wong, Pei Voon, Sulaiman, Md. Nasir

    Published 2013
    “…The hybrid User Trust method is able to find the most trusted users and selected as neighbours to generate recommendations. …”
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  15. 15
    Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach

    Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach by Jaradat, A., Alhussian, H., Patel, A., Fati, S.M.

    Published 2020
    “…Replica selection in data grids aims to select the best replica location based on the quality-of-service parameters preferred by the user. …”
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  16. 16
    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
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  17. 17
    Mobile user location prediction: genetic algorithm-based approach

    Mobile user location prediction: genetic algorithm-based approach by Mantoro, Teddy, Muataz, Zubaidah, Ayu, Media Anugerah

    Published 2010
    “…This paper presents a prediction of user location using genetic algorithm and based location history in finding a number of solutions of possible location when applied to recorded context histories, framework is presented and the result are discussed. …”
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    Proceeding Paper
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  18. 18
    Multi-criteria acces selection mechanism based on user preferences in heterogeneous wireless networks

    Multi-criteria acces selection mechanism based on user preferences in heterogeneous wireless networks by Xiaoxue, Guo

    Published 2023
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  19. 19
    Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

    Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm by Noor Azam, Muhammad Harith, Ridzuan, Farida, Mohd Sayuti, M Norazizi Sham

    Published 2023
    “…Existing embedding techniques depend on cover audio selected by users. Unknowingly, users may make a poor cover audio selection that is not optimised in its capacity or imperceptibility features, which could reduce the effectiveness of any embedding technique. …”
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  20. 20
    Hybrid LTE-Vanets Based Optimal Radio Access Selection

    Hybrid LTE-Vanets Based Optimal Radio Access Selection by Harum, Norharyati, Abu, Nor Azman, Ali, Mohanad Faeq

    Published 2018
    “…The periodically broadcasted network information supports mobile users to make their selection decisions;mobiles consider their own individual preferences,cost and partial QoS information signaled by the network while making their decision.The switches algorithm between VANET and LTE based on the load value of network and quality of service requirements were proposed.The simulation results have shown that the proposed algorithm has better performance compared with LTE and VANETs separately in terms of packet delivery ratio,latency and application-level throughput. …”
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