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  1. 1
    Performance evaluation of vertical handoff in fourth generation (4G) networks model

    Performance evaluation of vertical handoff in fourth generation (4G) networks model by 'Aini Syuhada, Md Zain, Mahamod, I., Wan Nur Suryani Firuz, Wan Ariffin

    Published 2009
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  2. 2
    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network

    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network by Abu-Khadrah, Ahmed Ismail Mohammad

    Published 2017
    “…The OPNET simulator and the mathematical model were used to evaluate the performance for the proposed algorithm. …”
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  3. 3
    A comparative study for parameter selection in online auctions

    A comparative study for parameter selection in online auctions by Gan, Kim Soon

    Published 2009
    “…In this work, three different models of genetic algorithms are considered. In the first model, the crossover and the mutation rate of the genetic algorithms are varied in order to create different combination of crossover and mutation rate. …”
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  4. 4
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…In conclusion, SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics can be used as models selection algorithms. Additionally, both algorithms are suitable in improving performance of automated models selection procedures. …”
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  5. 5
    Quality of service management algorithms in WiMAX networks

    Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

    Published 2015
    “…Simulation have been extensively used to evaluate the proposed algorithm. …”
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  6. 6
    Block based low complexity iterative QR precoder structure for Massive MIMO

    Block based low complexity iterative QR precoder structure for Massive MIMO by Mok, Li Suet

    Published 2021
    “…The simulation of quasi-static is used. We generate the model and evaluate the performance in MATLAB. …”
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  7. 7
    The Effect of Rainfall on the UAV Placement for 5G Spectrum in Malaysia

    The Effect of Rainfall on the UAV Placement for 5G Spectrum in Malaysia by Shalaby A.M., Othman N.S.

    Published 2023
    “…The simulation results show that, for the outdoor-to-outdoor scenario, both algorithms resulted in similar UAV 3D placement unlike for the outdoor-to-indoor scenario. …”
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  8. 8
    End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels

    End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels by Mfarej, Sumaya Dhari Awad

    Published 2021
    “…In the fourth part a deep learning (DL) algorithm of channel estimation for two fad�ing channel models, Tropical and Temperate in the satellite communication system is presented. …”
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  9. 9
    An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks

    An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks by Ghaleb, Abdulziz M., Mansoor, Ali Mohammed, Ahmad, Rodina

    Published 2018
    “…The evaluation is carried out by comparing a UC model against a NC model with the same simulation setup. …”
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  10. 10
    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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  11. 11
    Current Developments In Lte/Lte-Advanced : Adaptive-Proportional Fair Scheduling In Lte

    Current Developments In Lte/Lte-Advanced : Adaptive-Proportional Fair Scheduling In Lte by Ismail, Mohd Khairy, Awang Md Isa, Azmi, Johal, Mohammad Syahrir, Mohd Zin, Mohd Shahril Izuan

    Published 2015
    “…Besides, we show that our models are approximate estimates for the performance of rate-based proportional fair scheduling, while they outperform some simpler prediction models from related work significantly.…”
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  12. 12
    Adaptive linux-based TCP congestion control algorithm for high-speed networks

    Adaptive linux-based TCP congestion control algorithm for high-speed networks by Alrshah, Mohamed A.

    Published 2017
    “…The main contributions of this model are: First, to validate the simulation results of AF-based CCA by comparing them to the numerical results of this model and to the results of NewReno as a benchmark. …”
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  13. 13
    An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach

    An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach by Khan, T., Singh, K., Shariq, M., Ahmad, K., Savita, K.S., Ahmadian, A., Salahshour, S., Conti, M.

    Published 2023
    “…This paper presents a Machine Learning (ML)-based trust evaluation model in the unattended autonomous WSN environment to achieve reliability, adaptability, scalability, and accuracy by generating quick and reliable trust values dynamically. …”
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  14. 14
    Balanced femtocell model to enhance indoor coverage in LTE cellular network / Izwah Ismail

    Balanced femtocell model to enhance indoor coverage in LTE cellular network / Izwah Ismail by Ismail, Izwah

    Published 2018
    “…Hence the Cognitive Femtocell (CogFem) network has been proposed based on the greedy algorithm to allow unlicensed users to exploit spectrum opportunities from primary systems to enhance the spectrum utilization and mitigate interference. …”
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  15. 15
    Balanced femtocell model to enhance indoor coverage in LTE cellular network / Izwah Ismail

    Balanced femtocell model to enhance indoor coverage in LTE cellular network / Izwah Ismail by Ismail, Izwah

    Published 2017
    “…Hence the Cognitive Femtocell (CogFem) network has been proposed based on the greedy algorithm to allow unlicensed users to exploit spectrum opportunities from primary systems to enhance the spectrum utilization and mitigate interference. …”
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  16. 16
    Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao

    Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao by Wong , Tee Hao

    Published 2024
    “…Statistical analyses were employed to identify the most reliable quality ratings. To address dataset imbalances, Synthetic Minority Oversampling Technique was used, enhancing dataset quality before training 40 machine learning classification algorithms. …”
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  17. 17
    Recommendation System Model For Decision Making in the E-Commerce Application

    Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

    Published 2024
    thesis::doctoral thesis
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  18. 18
    A simulation study of a new rate-and-queue-based active queue management algorithm

    A simulation study of a new rate-and-queue-based active queue management algorithm by Ali Asghar, Jomah Adham, Razman, Mat Tahar

    Published 2012
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  19. 19
    Optimization of milling parameters using ant colony optimization

    Optimization of milling parameters using ant colony optimization by Mohd Saupi, Mohd Sauki

    Published 2008
    “…The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.…”
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    Undergraduates Project Papers
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  20. 20
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…This is difTerent from existing Interactive Genetic Algorithm in which selection and evaluation of solutions is done by the users. …”
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