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  1. 1
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
    thesis::doctoral thesis
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  2. 2
    An approximation approach for free space wave propagation

    An approximation approach for free space wave propagation by Hasan, Mohammad Khatim, Sulaiman, Jumat, Othman, Mohamed

    Published 2009
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  3. 3
    Efficient Numerical Modelling of Extreme Wave

    Efficient Numerical Modelling of Extreme Wave by Tan , Vi Nie

    Published 2020
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  4. 4
    Efficient Numerical Modelling of Extreme Waves

    Efficient Numerical Modelling of Extreme Waves by Tan, Vi Nie

    Published 2020
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  5. 5
    Cardiac abnormality prediction using tansig based multilayer perceptron

    Cardiac abnormality prediction using tansig based multilayer perceptron by Mohanty, Sibani Priyadarshini, Syahrull Hi-Fi Syam Ahmad Jamil, Jailani Abdul Kadir, Mohd Salman Mohd Sabri, Fakroul Ridzuan Hashim

    Published 2021
    “…A complete ECG complex contains a P peak, a QRS wave, and a T peak. …”
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  6. 6
    Use of level specific ce-chirp auditory brainstem response with high rates and objective algorithm in infants population

    Use of level specific ce-chirp auditory brainstem response with high rates and objective algorithm in infants population by Chahed, Norashikin, Dzulkarnain, Ahmad Aidil Arafat, Jamaluddin, Saiful Adli

    Published 2021
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  7. 7
    NUMERICAL MODELING OF TROPOSPHERIC RADIO WAVE PROPAGATION USING WAVELETS

    NUMERICAL MODELING OF TROPOSPHERIC RADIO WAVE PROPAGATION USING WAVELETS by ,, ASIF IQBAL

    Published 2012
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  8. 8
    Enhanced control algorithms for multilevel inverter-based shunt active power filter

    Enhanced control algorithms for multilevel inverter-based shunt active power filter by Hoon, Yap

    Published 2017
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  9. 9
    Efficient and scalable ant colony optimization based WSN routing protocol for IoT

    Efficient and scalable ant colony optimization based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2020
    “…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
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  10. 10
    Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes

    Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes by Reem Mustafa , Mah’d Al Debes

    Published 2025
    “…The proposed method achieves a 75% enhancement in energy efficiency compared to conventional Orthogonal Multiple Access (OMA) and an 11% improvement over benchmark NOMA algorithms. …”
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  11. 11
    A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization

    A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization by Abd Halim, Syahirah

    Published 2009
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  12. 12
    Nonlinear optical effects suppression methods in WDM systems with EDFAs: A review

    Nonlinear optical effects suppression methods in WDM systems with EDFAs: A review by Nordiana, Mohamad Saaid

    Published 2011
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  13. 13
    Quantum-implementable selective reconstruction of high-resolution images

    Quantum-implementable selective reconstruction of high-resolution images by Peruš, M., Bischof, H., Caulfield, H.J., Loo, C.K.

    Published 2004
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  14. 14
    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm

    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm by Zhao, Jing, Du, Xiao Fei, Lin, Jun, Guo, Wei Wei, Wang, Shao Peng, Yang, Fan

    Published 2026
    “…Methods: We utilized nationally representative data from the 2020 wave of the China Longitudinal Aging Social Survey (CLASS), including a total of 2,723 participants. …”
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  15. 15
    Firefly-inspired time synchronization mechanism for self-organizing energy efficient wireless sensor networks

    Firefly-inspired time synchronization mechanism for self-organizing energy efficient wireless sensor networks by Al-Mekhlafi, Zeyad Ghaleb Aqlan

    Published 2017
    “…The performances of the proposed algorithms were studied using a simulation analysis. …”
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  16. 16
    One-dimension high-order compact method for solving euler's equation

    One-dimension high-order compact method for solving euler's equation by Mohamad, Mahmod Abd Hakim bin

    Published 2010
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  17. 17
    One-dimensional high-order compact method for solving Euler's equations

    One-dimensional high-order compact method for solving Euler's equations by Mohamad, Mahmod Abd Hakim, Basri, Shahnor, Basuno, Bambang

    Published 2011
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  18. 18
    Development of eCall for Malaysia's automotive industries

    Development of eCall for Malaysia's automotive industries by Abd Musthalib, Mohd Aliff, Mansor, Hasmah, Zainal Abidin, Zulkifli

    Published 2019
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  19. 19
    Access control and classifier-based blockchain technology in e-healthcare applications

    Access control and classifier-based blockchain technology in e-healthcare applications by Maseleno A., Hashim W., Perumal E., Ilayaraja M., Shankar K.

    Published 2023
    Book Chapter
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  20. 20
    An algorithm for Elliott Waves pattern detection

    An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2018
    “…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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