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    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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    Design and implementation of multimedia digital matrix system by Chui, Yew Leong, Ramli, Abdul Rahman, Perumal, Thinagaran, Sulaiman, Mohd Yusof, Ali, Mohd Liakot

    Published 2005
    “…Due to the issues of signal integrity in high-speed digital design, a new adaptive channel synchronization algorithm has been developed. The algorithm, named as hybrid-reset algorithm utilizes the nature of asynchronous reset to compensate the drawback of synchronous counter for phase detection. …”
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    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin by Latiffah, A. Noor, Nordin, A. B.

    Published 2006
    “…This patterns or rules may help to develop better decision-making process. Data mining is primarily used in finance and business environment to extract knowledge from financial, retail, communication and marketing data. …”
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    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning by Tan, Chee Sheng

    Published 2019
    “…In this research, an underwater communication device is developed and fast Fourier transform (FFT) overlap algorithm is proposed in order to achieve the objectives. …”
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    Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation by Salem Hussin, Saleh Hussin

    Published 2005
    “…In this thesis, the goal was to study digital image watermarking and develop watermarking algorithm that can achieve high imperceptibility, maximum capacity, and high robustness against image manipulation at the same time. …”
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    Instant Sign Language Recognition by WAR Strategy Algorithm Based Tuned Machine Learning by Abd Al-Latief S.T., Yussof S., Ahmad A., Khadim S.M., Abdulhasan R.A.

    Published 2025
    “…A novel sign language recognition system is presented in this paper with an exceptionally accurate and expeditious, which is developed upon the recently devised metaheuristic WAR Strategy optimization algorithm. …”
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    Multivariate EEG signal processing techniques for the aid of severely disabled people by Ibrahimy, Muhammad Ibn, Ibrahimy, Ahmad Ibn

    Published 2022
    “…Two fundamental objectives for BCI based on motor movement imagery from multichannel signals are aimed at in this research work: i) to develop a technique of multivariate feature extraction for motor imagery related to multichannel EEG signals; and ii) to develop an appropriate machine learning based feature classification algorithm for Brain Computer Interface. …”
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    Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line by Olufemi, Osaji Emmanuel

    Published 2020
    “…The Random Tree relay algorithm model presented an improved average trip decision time of 18 ms compared with the standard minimum value of 20 ms recorded for the conventional relay due to eliminated communication channels. …”
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    Sign language recognition using deep learning through LSTM and CNN by Kiran, Pandian, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Muhammad Amirul, Abdullah, Ahmad Fakhri, Ab. Nasir, Wan Hasbullah, Mohd Isa

    Published 2023
    “…We used same datasets for all algorithms to determine the best algorithm. The YOLOv5 has achieved the highest accuracy of 97% followed by LSTM and CNN with 94% and 66.67%.…”
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