Search Results - parallel prediction ((bat algorithm) OR (modified algorithm))

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  1. 1
    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem

    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

    Published 2004
    “…The numerical results based on the sequential and parallel algorithms for both row and columnwise fashions are presented and compared to determine their performance.…”
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  2. 2
    Parallel implementation of genomic sequences classification using modified Gabor wavelet transform on multicore systems

    Parallel implementation of genomic sequences classification using modified Gabor wavelet transform on multicore systems by Gunawan, Teddy Surya, Ambikairajah, Eliathamby

    Published 2012
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  3. 3
    Development of a real-time clutch transition strategy for a parallel hybrid electric vehicle

    Development of a real-time clutch transition strategy for a parallel hybrid electric vehicle by Vu, Trieu Minh

    Published 2011
    “…Some modified MPC algorithms with softened constraints and with output regions have been also studied to improve the robustness and the ability of this controller. …”
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  4. 4
    Super resolution imaging using modified lanr based on separable filtering

    Super resolution imaging using modified lanr based on separable filtering by Somadina, Ike Chidiebere

    Published 2019
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  5. 5
    An integrated priority-based cell attenuation model for dynamic cell sizing

    An integrated priority-based cell attenuation model for dynamic cell sizing by Amphawan, Angela, Omar, Mohd Nizam, Din, Roshidi

    Published 2012
    “…A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data.The proposed model is an integration of two main components; the modified virtual community – parallel genetic algorithm (VC-PGA) cell priority selection module and the evolving fuzzy neural network (EFuNN) mobile traffic prediction module.The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell.The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.The EFuNN module is placed in each cell and the output, the predicted mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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  6. 6
    Exploring the High Performance Computing-Enablement of a Suite of Gene-Knockout Based Genetic Engineering Applications

    Exploring the High Performance Computing-Enablement of a Suite of Gene-Knockout Based Genetic Engineering Applications by Li, Zhenya, Sinnott, Richard O., Choon, Yee Wen, Sjaugi, Muhammad Farhan, Mohd Saberi, Mohamad, Safaai, Deris, Suhaimi, Napis, Omatu, Sigeru, Corchado, Juan Manuel, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

    Published 2016
    “…Genetic engineering provides methods to modify the genes of microorganisms to achieve desired effects. …”
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  7. 7
    A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam

    A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam by Md Haidar, Islam

    Published 2021
    “…The differences between conventional and other modified MPPT algorithms are explained in this research work. …”
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  8. 8
    New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems

    New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems by Abduljabbar, Yasir Amer

    Published 2019
    “…The efficiency of the proposed methods is verified by comparing the predicted results with the existing modified PTS methods in the literature using Matlab software simulation and numerical calculation. …”
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  9. 9
    Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism

    Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism by Khalil Abd., Sura

    Published 2017
    “…Nowadays, DNA plays a vital role in many computing applications due to the massive processing parallelism. In addition, using fuzzy theory in genetic algorithm reduces the iteration of producing the population and assigning the suitable resources to the tasks-based and task length in the node capacity. …”
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