Search Results - (( evolution optimization max algorithm ) OR ( data implication cloud algorithm ))

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  1. 1

    Performance comparison of differential evolution and particle swarm optimization in constrained optimization by Iwan, Mahmud, Akmeliawati, Rini, Faisal, Tarig, Al-Assadi, Hayder M.A.A.

    Published 2012
    “…Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization algorithms. …”
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    Article
  2. 2

    Cloud Computing in Smart Cities: Privacy, Ethical and Social Issues by Alkhazali A.R.M., Khasawneh A.M., Alzoubi S., Magableh M., Mohamed R.R., Pandey B.

    Published 2024
    “…Ethical concerns arise from the handling of sensitive data, data ownership, and algorithmic biases that could perpetuate discrimination. …”
    Conference Paper
  3. 3

    Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture by Chong, Jin Hui

    Published 2010
    “…Two dynamic transmit antenna shuffling schemes, namely ‘Optimal’ and ‘Max STBC’, are proposed to enhance the V-BLAST/STBC transceiver scheme with LC-QR proposed in the first part. …”
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    Thesis
  4. 4

    Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina, Manshor, Noridayu, Jasim Al-Hchaimi, Ahmed Abbas

    Published 2023
    “…The utilisation of the Z-Cloud Rough Numbers (ZCRNs) environment addresses the challenge of two types of uncertainty, providing a framework for managing ambiguity in the data and achieving a higher level of data freedom. …”
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    Article
  5. 5

    Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin by Azmi, Muhammad, Mahyuddin, Muhammad Naim

    Published 2023
    “…These devices collect and transmit data to a centralised cloud-based platform. Advanced data analytics and machine learning algorithms process this data, enabling the system to detect potential safety hazards, monitor construction progress, and predict resource requirements. …”
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    Conference or Workshop Item
  6. 6