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  1. 1

    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
  2. 2

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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    Article
  3. 3

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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    Thesis
  4. 4

    A priority based job scheduling algorithm in cloud computing by Shamsollah, Ghanbari, Othman, Mohamed

    Published 2012
    “…Some intensive researches have been done in the area of job scheduling of cloud computing. In this paper we have proposed a new priority based job scheduling algorithm (PJSC) in cloud computing. …”
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    Conference or Workshop Item
  5. 5

    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis by Mukhlis, Siti Farah Najwa

    Published 2017
    “…The results of this project is a Dam Haji game using A* algorithm which it is able to make legal movements based on the game’s rules and a matchup with a computer-based player that have gone through a process of computer learning to make movement based on the A* shortest path technique. …”
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    Thesis
  6. 6

    LCSS-Based Algorithm for Computing Multivariate Data Set Similarity: A Case Study of Real-Time WSN Data by Khan, Rahim, Ali, Ihsan, Altowaijri, Saleh, Zakarya, Muhammad, Rahman, Atiq Ur, Ahmedy, Ismail, Khan, Anwar, Gani, Abdullah

    Published 2019
    “…This study describes the usefulness of a non-metric-based approach (i.e., longest common subsequence) in computing similarity indexes. …”
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    Article
  7. 7

    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…We simulate our proposed algorithms using a Java based simulator that is purposedly built for Grid computing simulations. …”
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    Thesis
  8. 8

    Optimizing BOINC scheduling using genetic algorithm based on thermal profile by Binti, N.N., Zakaria, M.N.B., Aziz, I.B.A., Binti, N.S.

    Published 2014
    “…In order to fully utilize the computer in labs, we proposed new jobs scheduling algorithm can run based on thermal constraInternational The proposed algorithm is combination of thermal profile and heuristic approach. …”
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    Conference or Workshop Item
  9. 9

    Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based by Saeed, Mamoon M, Saeed, Rashid A, Ali, Elmustafa Sayed, Mokhtar, Rania A, Khalifa, Othman Omran

    Published 2024
    “…The emergence of the sixth generation (6G) wireless networks brings new challenges and opportunities for efficient computing offloading and resource allocation. This paper proposes a novel Deep Reinforcement Learning-based Computing Offloading and Resource Allocation (DRL-CORA) algorithm for 6G networks. …”
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    Proceeding Paper
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    Fuzzy C-Mean And Genetic Algorithms Based Scheduling For Independent Jobs In Computational Grid by Lorpunmanee, Siriluck, Md Sap, Mohd Noor, Abdullah, Abdul Hanan

    Published 2006
    “…Our model presents the method of the jobs classifications based mainly on Fuzzy C-Mean algorithm and mapping the jobs to the appropriate resources based mainly on Genetic algorithm. …”
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    Article
  13. 13

    Computation of cryptosystem based on Lucas functions using addition chain by Md Ali, Zulkarnain, Othman, Mohamed, Md. Said, Mohamad Rushdan, Sulaiman, Md. Nasir

    Published 2010
    “…New technique shows a smaller computation time compared to the existing algorithm. …”
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    Conference or Workshop Item
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    Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation by Nasser, Abdullah B., Abdul-Qawy, Antar S. H., Abdullah, Nibras, Hujainah, Fadhl, Kamal Z., Zamli, Ghanem, Waheed A. H. M.

    Published 2020
    “…Jaya Algorithm (JA) is a new metaheuristic algorithm, has been used for solving different problems. …”
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  16. 16

    Enhancing speed performance of the cryptographic algorithm based on the lucas sequence by M. Abulkhirat, Esam

    Published 2003
    “…LUC cryptosystem algorithm based on the quadratic and cubic polynomial, is introduced in this thesis with a new formula to distinguishing between the cubic polynomial roots. …”
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    Thesis
  17. 17

    Enhancement of text-based advanced encryption standard algorithm (AES) in the android platform / Mohamad Zakirin Mohammad Zahari by Mohammad Zahari, Mohamad Zakirin

    Published 2014
    “…Based on the research that had been conducted, it shows that the enhanced algorithm have managed to speed up the computational process for encryption and decryption of the text in the Android platform to reduce computational overhead. …”
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    Thesis
  18. 18

    A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem by Alharbi, Saad, Venkat, Ibrahim

    Published 2017
    “…However, literature shows that limited research has been carried out to solve theMDSQP using bioinspired algorithms. To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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    Article
  19. 19

    A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem by Alharbi, Saad, Venkat, Ibrahim

    Published 2017
    “…However, literature shows that limited research has been carried out to solve theMDSQP using bioinspired algorithms. To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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    Article
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