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  1. 1

    Resource allocation techniques for interference mitigation in macro and femtocell heterogeneous network-based LTE system by Al-omari, Motea Saleh Mohammed

    Published 2017
    “…The simulation results revealed that RACSA mitigates cross-tier interference and improves system performance. …”
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    Thesis
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    Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity by Dehkordi, Sepehr Ghasemi

    Published 2014
    “…Adaptive algorithms are prevalently applied in the design of nonlinear active noise control (ANC) system. …”
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    Thesis
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    A selective mitigation technique of soft errors for DNN models used in healthcare applications: DenseNet201 case study by Adam, Khalid, Izzeldin, I. Mohd, Ibrahim, Younis

    Published 2021
    “…Nevertheless, GPUs are prone to transient effects and other reliability threats, which can impact DNN models’ reliability. Safety-critical systems, such as healthcare applications, must be highly reliable because minor errors might lead to severe injury or death. …”
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    Article
  7. 7

    Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

    Published 2024
    “…The implementation phase focuses on the deployment of the Decision Tree algorithm and system evaluation through functionality testing. …”
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    Thesis
  8. 8

    Nonlinear THF-FXLMS algorithm for active noise control with loudspeaker nonlinearity by Ghasemi, Sepehr, Raja Ahmad, Raja Mohd Kamil, Marhaban, Mohammad Hamiruce

    Published 2016
    “…Adaptive algorithms are prevalently applied in the design of nonlinear active noise control (ANC) systems. …”
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    Article
  9. 9

    An Optimized Load Shedding Approach in Power Grids to Mitigate Cascading Failure by Ahmed M. A., Haidar, Andreas, Helwig, Liviu, Moldovan

    Published 2025
    “…Thus, reserve generation remains connected to the power grid for additional service during grid faults. The proposed modeling and control can be used to develop planning and operational strategies for a practical power system. …”
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  10. 10

    Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

    Published 2024
    “…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
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  11. 11

    Electricity distribution network for low and medium voltages based on evolutionary approach optimization by Hasan, Ihsan Jabbar

    Published 2015
    “…The proposed algorithm has been evaluated on the two types of distribution network models which are the distribution network model with 500 customers that includes LV residential and commercial loads as well as MV distribution network, and 164 nodes in MV level. …”
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    Thesis
  12. 12

    Identification of continuous-time hammerstein model using improved archimedes optimization algorithm by Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad, Cho, Bo Wen

    Published 2024
    “…This proposed algorithm also discerned linear and nonlinear subsystem variables within a continuous-time Hammerstein model utilizing input and output data. …”
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  13. 13

    Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms by Almubaidin M.A., Ahmed A.N., Sidek L.M., AL-Assifeh K.A.H., El-Shafie A.

    Published 2025
    “…The results revealed that the used algorithms effectively mitigated water shortages and excess releases compared to the current operational strategy. …”
    Article
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    An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability by Bouke, Mohamed Aly, Abdullah, Azizol

    Published 2023
    “…To address this problem, we provide suggestions for mitigating data leakage in the training process and analyzing the sensitivity of different algorithms. …”
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  16. 16

    Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar by Vijyakumar, Kanendra Naidu

    Published 2015
    “…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. …”
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    Thesis
  17. 17

    Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms by Al-Rawashdeh, Mohammad, Al Nawaiseh, Moh’d, Yousef, Isam, Bisharah, Majdi, Alkhadrawi, Sajeda, Al-Bdour, Hamza

    Published 2024
    “…This study compares Bayesian Optimization-based machine learning systems that anticipate earthquake-damaged buildings and to evaluates building damage classification models. …”
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    Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexing for optical fiber transmission by Noori, Awab

    Published 2017
    “…This research was conducted through a few steps commencing with modelling the MDM system in Optsim and collecting the data. …”
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    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das by Utpal, Kumar Das

    Published 2019
    “…The results show that the proposed model, algorithm, and circuit perform better compare to the existing system.…”
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    Thesis
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    Short-term PV power forecasting using hybrid GASVM technique by VanDeventer, William, Jamei, Elmira, Thirunavukkarasu, Gokul Sidarth, Seyedmahmoudian, Mehdi, Tey, Kok Soon, Horan, Ben, Mekhilef, Saad, Stojcevski, Alex

    Published 2019
    “…A genetic algorithm-based support vector machine (GASVM) model for short-term power forecasting of residential scale PV system is proposed in this manuscript. …”
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