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    Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm by Mohamed, M. E, Samir, B. B., Azween, Abdullah

    Published 2010
    “…The algorithm tested use KDD Cup dataset and the result shows a significant improvement in detection accuracy and reducing the false alerts …”
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    Citation Index Journal
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    Speech enhancement based on compressive sensing algorithm by Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil, Jalel

    Published 2013
    “…A novel speech enhancement by using compressive sensing (CS) is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. …”
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    Proceeding Paper
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    Speech enhancement based on compressive sensing algorithm by Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil , Jalel

    Published 2013
    “…A novel speech enhancement by using compressive sensing (CS) is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. …”
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    Article
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    Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control. by Sulaiman, Nasri, Piltan, Farzin, Allahdadi, Sadeq, Dialame, Mohammadali, Abbas, Zulkifly

    Published 2011
    “…This research focuses on design Single Input Single Output (SISO) adaptive sliding mode fuzzy PD fuzzy sliding mode algorithm with estimates the equivalent part derived in the Lyapunov sense. …”
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    Article
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    Embedded Ethernet System For Real-Time Communication by Thiagarajan, Durgesh

    Published 2018
    “…The Ethernet network model is used to analyze the performance of the backoff algorithm in a different number of nodes. …”
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    Monograph
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    Improved static and dynamic FBG sensor system for real-time monitoring of composite structures by Vorathin, Epin

    Published 2017
    “…On the other hand, due to the presence of noise in the signal spectrum, the estimation of time of arrival (TOA) through peak detection is pin-pointed as the drawback in dynamic strain sensing. Thus, the designation of this research study is to improve the current FBG based real-time monitoring system with the use of certain functions and algorithms, that are the instant mesh-grid function, voltage normalization algorithm, CC-LSL algorithm, and FFT function. …”
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    Thesis
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    Adaptive MIMO Fuzzy Compensate Fuzzy Sliding Mode Algorithm: Applied to Second Order Nonlinear System. by Sulaiman, Nasri, Piltan, Farzin, Ferdosali, Payman, Rashidi, Mehdi, Tajpeikar, Zahra

    Published 2011
    “…This research is focused on proposed adaptive fuzzy sliding mode algorithms with the adaptation laws derived in the Lyapunov sense. …”
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    Article
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    Investigation On Optical Fibre Configurations For Process Tomography by Ibrahim, Sallehuddin

    Published 2002
    “…The forward problem is solved for all combinations of flow model and sensor arrangement. Linear back projection (LBP) algorithm is used to reconstruct the image. …”
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    Article
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    Building segmentation in remote sensing images using region merging approach with convolutional neural network-based model by Shoaib, Asim

    Published 2025
    “…In this research, AttentionU-Net model is used to generate feature map that is used to derive MC for merging building regions in WHU remote sensing images dataset. …”
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    Final Year Project / Dissertation / Thesis
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    Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

    Published 2006
    “…The retrieval of surface reflectance is important to obtain the atmospheric reflectance in remotely sensed data and later used for algorithm calibration. …”
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    Thesis
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    Corrigendum to “Integrated miniature fluorescent probe to leverage the sensing potential of ZnO quantum dots for the detection of copper (II) ions” by Sing, Muk Ng, Sing, Derrick Nguong Wong, Hui, Jane Chiun Phung, Suk, Fun Chin, Hong, Siang Chua

    Published 2014
    “…Quantum dots are fluorescent semiconductor nanoparticles that can be utilised for sensing applications. This paper evaluates the ability to leverage their analytical potential using an integrated fluorescent sensing probe that is portable, cost effective and simple to handle. …”
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    Article