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Showing 1 - 5 results of 5 for search '(( binary msc derived optimization algorithm ) OR ( primary data required optimization algorithm ))', query time: 0.09s Refine Results
  1. 1
    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain

    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain by Al Sadawi, Alia

    Published 2021
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  2. 2
    Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing

    Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou (1887307)

    Published 2023
    “…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”
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  3. 3
    Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan

    Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan by AL RAWASHDEH, HANEEN MOHAMMAD

    Published 2017
    “…Data mining (also referred to as Data Knowledge Discovery) is the practice of examining a dataset to establish the hidden patterns and knowledge in order to represent the results in an understandable format. …”
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  4. 4
    Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach

    Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach by El Gohary, Youssef Hesham

    Published 2024
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  5. 5
    From Collatz Conjecture to chaos and hash function

    From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

    Published 2023
    “…The primary goal of this research is to develop a robust and efficient chaos-based hash function that addresses the requirements of cryptographic systems. …”
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