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  1. 1

    A novel embedding method to increase capacity and robustness of low-bit encoding audio steganography technique using noise gate software logic algorithm by Ahmed, M.A., Kiah, M.L.M., Zaidan, B.B., Zaidan, A.A.

    Published 2010
    “…In the second step, standard 8th LSB layer embedding has been done for this desired signal. Audio quality evaluation has used to evaluate our purposed method in two ways. …”
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    Article
  2. 2

    An enhanced gated recurrent unit with auto-encoder for solving text classification problems by Zulqarnain, Muhammad

    Published 2020
    “…Classification has become an important task for categorizing documents automatically based on their respective groups. Gated Recurrent Unit (GRU) is a type of Recurrent Neural Networks (RNNs), and a deep learning algorithm that contains update gate and reset gate. …”
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    Thesis
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    Literature Survey On Stereo Vision Disparity Map Algorithms by Rostam Affendi, Hamzah, Haidi, Ibrahim

    Published 2016
    “…This paper presents a literature survey on existing disparity map algorithms. It focuses on four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and evaluation of dense two-frame stereo correspondence algorithms performed in 2002. …”
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    Article
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    Design Methodology and Analysis of Hash Function based-on Field Programmable Gate Array for Hash-based Message Authentication Code Application by SHAMSIAH BINTI, SUHAILI

    Published 2025
    “…All these design methodologies aim to confirm the effect of HDL coding style on the performance of hardware algorithms implemented on FPGA. This research focuses on unkeyed algorithm hash functions, such as MD5, SHA-1, RIPEMD-160, and SHA-256, to evaluate and compare the design's performance, area implementation, maximum clock frequency, and power consumption. …”
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    Enhancing performance of XTS cryptography mode of operation using parallel design by Ahmed Alomari, Mohammad

    Published 2009
    “…Performance evaluation shows that XTS exhibits faster speed when an RC6 encryption algorithm is used, compared to other encryption algorithms such as AES and Twofish. …”
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    Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty by Reza M.S., Hannan M.A., Mansor M., Ker P.J., Tiong S.K., Hossain M.J.

    Published 2024
    “…The method proposed in this work is evaluated based on the aging data from the NASA battery dataset, and its effectiveness is compared with that of BiLSTM, baseline gated recurrent unit (GRU), and baseline LSTM using various error metrics. …”
    Conference Paper
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    The development of embedded band-stop filter for vibration control of a flexible manipulator by Noor Hazreen, Sutomoh

    Published 2009
    “…After that, it is embedded in Field Programmable Gate Array board using Xilinx software. This algorithm is then applied to the flexible manipulator in the Simulink through PCI 1710 HG DAQ Card. …”
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    Undergraduates Project Papers
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    A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

    Published 2025
    “…The findings highlight that Long Short-Term Memory (LSTM) is the most adopted RNN method for data imputation due to its adaptability in processing data of varying lengths as compared to Gated Recurrent Units (GRU) and other hybrid methods. …”
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    Article
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    The development of embedded low-pass filter for vibration control of a flexible manipulator by Aainaa Hazwani, Mohd Hashim

    Published 2009
    “…A constraint planar single link flexible manipulator is considered in this project and dynamic model of the system is derived using assumed mode method. A bang-bang torque input signal is used to determine the characteristic parameters for designed and evaluate for vibration control technique. …”
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    Undergraduates Project Papers
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    Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., Sherif M., El-Shafie A.

    Published 2024
    “…In this study, an attempt via metaheuristic algorithms, namely the Harris Hawks Optimisation (HHO) Algorithm and the Opposite Based Learning of HHO (OBL-HHO) are made to minimise the water deficit as well as mitigate floods at downstream of the Klang Gate Dam (KGD). …”
    Article
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    A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

    Published 2025
    “…The findings highlight that Long Short-Term Memory (LSTM) is the most adopted RNN method for data imputation due to its adaptability in processing data of varying lengths as compared to Gated Recurrent Units (GRU) and other hybrid methods. …”
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    Article
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    Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption by Yeo Zi Zian

    Published 2022
    “…Some qualitative research methods such as interviews with the officer from the security division and observation at the main entrance gate of campus will also be performed to determine the Standard Operation Procedure (SOP) of access control and management in UMS security division. …”
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    Academic Exercise
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    Implementation of luo-rudi phase 1 cardiac cell excitation model in FPGA by Othman, Norliza

    Published 2017
    “…Due to the drawbacks, this research presents the adaptation of Luo-Rudy Phase I (LR-I) cardiac excitation model in a rapid prototyping method of field programmable gate array (FPGA) for real-time simulation, lower power consumption and minimizing the size. …”
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    Thesis
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