Search Results - (( java implementation learning algorithm ) OR ( knowledge solving first 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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    Thesis
  2. 2

    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
  3. 3

    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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    Thesis
  4. 4

    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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    Thesis
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  6. 6

    Enhancement of lightweight block cipher algorithms by Taha Alshaikhli, Imad Fakhri, Al-Dabbagh, Sufyan Salim Mahmood, Zaba, Muhammad Reza

    Published 2017
    “…To the best of our knowledge, this is the first study that analyse the methods for generating key dependent S-box with lightweight block cipher algorithms.…”
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    Book
  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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    Thesis
  8. 8

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

    Published 2006
    “…Similarly, the algorithm proposed in MALESAbrain can, be used to deal, the problem of conducting a meeting among learners to solve problems. …”
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    Article
  9. 9
  10. 10

    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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    Thesis
  11. 11

    Simulation model algorithm for pre-hospital emergency care (PHEC) volunteers in Indonesia by Martono, Martono, Sudiro, Sudiro, Satino, Satino

    Published 2018
    “…Algorithm models for PHEC simulation have some strengths in real setting and effective interactive learning to evaluate the capabilities of first responders in managing pre-hospital emergency, and improve problem-solving skills, as well as their performance in such aspects as skill, knowledge, and attitude.…”
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    Article
  12. 12

    Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq by Zebel , Al Tareq

    Published 2021
    “…A number of factors such as inefficient teaching approaches and lack of problem-solving skills are factors making this knowledge procedure difficult. …”
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    Thesis
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  14. 14

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The results show that the extraction algorithm has been able to extract 100 % of the information correctly. …”
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    Thesis
  15. 15

    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

    Published 2022
    “…The first proposed algorithm aims to optimize the EE by controlling the on/off status of RRH via a deep Q network (DQN) and subsequently solving a power optimization problem. …”
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    Final Year Project / Dissertation / Thesis
  16. 16

    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
  17. 17

    Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza by Khaimuza, Haris Hidayatullah

    Published 2024
    “…It is also important to consider the loss of traditional practices and the lack of cultural knowledge of plants. The first objective of this study is to study the Convolutional Neural Network (CNN) algorithm in the classification of daisy species based on image. …”
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    Thesis
  18. 18

    Modified Nsga-Iii As A Many-Objective Optimization Technique For Ab Initio Protein Structure Prediction by Smadi, Motasem Mohammad Yaqoob Al

    Published 2024
    “…Furthermore, this study proposes four novel objectives from three distinct energy function types with the goal of solving as a MOOP. In this regard, the first two objectives are derived from the physics-based energy function (PEF) which decomposes into bond and nonbond terms. …”
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    Thesis
  19. 19

    Extended Haar Wavelet Quasilinearization method for solving boundary value problems / Nor Artisham Che Ghani by Nor Artisham , Che Ghani

    Published 2018
    “…The transformed equations are then solved numerically. This is contrary to Runge-Kutta method, where the boundary value problems of HWQM need not to be reduced into a system of first order ordinary differential equations. …”
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    Thesis
  20. 20

    Hybrid block method for direct numerical approximation of second order initial value problems using Taylor Series Expansions by Adeyeye, Oluwaseun, Omar, Zurni

    Published 2017
    “…The rigor of reduction to a system of first order initial value problems is bypassed as the hybrid block method directly solves the second order IVPs. …”
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    Article