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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
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  2. 2
    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 research leverages Artificial Intelligence (AI)-based Genetic Algorithms (GA) and game theory to address critical challenges in resource allocation. …”
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  3. 3
    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
    “…Clinical trial number: Not applicable.…”
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  4. 4
    A WAVELET BASED SIGNAL DENOISING AND HYDROCARBON PREDICTION ALGORITHM FOR A NEW MARINE CSEM ANTENNA DESIGN

    A WAVELET BASED SIGNAL DENOISING AND HYDROCARBON PREDICTION ALGORITHM FOR A NEW MARINE CSEM ANTENNA DESIGN by NYAMASVISVA, TADIWA ELISHA

    Published 2017
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  5. 5
    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
    “…Modern High technology live style demand an exhaustive used of electromagnetic devices, whether in civilian or military purposes. Among the applications of current interest include those related to communications. …”
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  6. 6
    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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  7. 7
    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
    “…In this study, ANN will be trained for pre-testing to predict the cardiac abnormalities symptom based on selected reference parameters. This reference parameter is better known as the input parameter to the ANN to detect cardiac abnormalities, among which are the of the height of peak/wave (amplitude) and time occurrence of peak/wave (duration of time) extracted from the electrocardiogram (ECG) signal. …”
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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
    “…Nowadays, harmonics mitigations and reactive power compensations are compulsory in power distribution systems due primarily to significant increment of current harmonics and reactive power burden resulted from widespread applications of power electronic devices. Among the existing mitigation solutions, multilevel inverter-based shunt active power filter (SAPF) is potentially to be effective against current harmonics and power factor (PF) degradation, and its mitigation performance is strictly dependent on the quality of its control algorithms. …”
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  9. 9
    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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  10. 10
    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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  11. 11
    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
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  12. 12
    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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  13. 13
    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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  14. 14
    Implementation of a Symmetric Chaotic Encryption Scheme

    Implementation of a Symmetric Chaotic Encryption Scheme by Sivanandan, Easwari

    Published 2004
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  15. 15
    RFID data reliability optimiser based on two dimensions bloom filter

    RFID data reliability optimiser based on two dimensions bloom filter by Yaacob, Siti Salwani, Mahdin, Hairulnizam, Kasim, Shahreen

    Published 2017
    “…The noise and duplicate data filtering algorithm was constructed based on bloom filter. There are two bloom filters in one algorithm where each filter holds function either to remove noise data and to recognize data as correct reading from duplicate data reading. …”
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  16. 16
    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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  17. 17
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
    text::Thesis
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  18. 18
    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi

    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

    Published 2025
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  19. 19
    A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data

    A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data by Daud, H., Mohd Aris, M.N., Mohd Noh, K.A., Dass, S.C.

    Published 2021
    “…Acquiring EM responses using mesh-based algorithms is a time-consuming task. Thus, this work compared the time taken by the CST and GP in evaluating the EM profiles. …”
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  20. 20
    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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