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  1. 1
    Application of Evolutionary Algorithm for Assisted History Matching

    Application of Evolutionary Algorithm for Assisted History Matching by Zahari, Muhammad Izzat

    Published 2014
    “…In this project, we will define and discuss the application of evolutionary algorithm in assisted history matching. …”
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  2. 2
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
    “…Up until today, video compression algorithm has been applied in various video applications ranging from video conferencing to video telephony. …”
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  3. 3
    Stroke-to-stroke matching in on-line signature verification

    Stroke-to-stroke matching in on-line signature verification by Ahmad Jaini, Azhar

    Published 2010
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  4. 4
    Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm

    Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm by Ashraf, Erum

    Published 2023
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  5. 5
    Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem

    Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem by Suhazri Amrin, Rahmad, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

    Published 2022
    “…We reviewed 57 SKF papers. 16 of them on fundamental improvements, 9 on extension of the algorithm to discrete problems and 25 on their applications. …”
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  6. 6
    MINIMIZATION OF RESOURCE UTILIZATION FOR A REAL-TIME DEPTH-MAP COMPUTATIONAL MODULE ON FPGA

    MINIMIZATION OF RESOURCE UTILIZATION FOR A REAL-TIME DEPTH-MAP COMPUTATIONAL MODULE ON FPGA by NGO , NGO HUY TAN

    Published 2011
    “…Depth-map algorithm allows camera system to estimate depth in many applications. …”
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  7. 7
    Facial image retrieval on semantic features using adaptive mean genetic algorithm

    Facial image retrieval on semantic features using adaptive mean genetic algorithm by Shnan, Marwan Ali, Rassem, Taha H., Nor Saradatul Akmar, Zulkifli

    Published 2019
    “…The images with the shortest Euclidean distance are considered as a match and are retrieved. The processing techniques involve the application of the median modified Weiner filter (MMWF), extraction of the low-level features using histogram-oriented gradients (HOG), discrete wavelet transform (DWT), GIST, and Local tetra pattern (LTrP). …”
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  8. 8
    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
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  9. 9
    Resource Minimization in a Real-time Depth-map Processing System on FPGA

    Resource Minimization in a Real-time Depth-map Processing System on FPGA by Ngo, Huy Tan, Hamid, Nor Hisham, Sebastian , Patrick, Yap, Vooi Voon

    Published 2011
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  10. 10
    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition

    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…Classification rules were generated from training feature vectors set, and a modified form of the standard voter classification algorithm, that use the rough sets generated rules, was applied. …”
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  11. 11
    Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter

    Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter by Taghvaee, Mohammad Hossein

    Published 2013
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  12. 12
    Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels

    Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Ain, Mohd Fadzil, Abdul Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2019
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  13. 13
    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam

    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam by Kh Tohidul , Islam

    Published 2017
    “…In the first stage, a hybrid color segmentation algorithm has been developed and tested. This hybrid color segmentation algorithm contains a RGB histogram equalization, RGB color segmentation, modified grayscale segmentation, binary image segmentation, and a shape matching algorithm. …”
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  14. 14
    Survival modelling, missing values and frailty with application to cervical cancer data / Nuradhiathy Abd Razak

    Survival modelling, missing values and frailty with application to cervical cancer data / Nuradhiathy Abd Razak by Nuradhiathy, Abd Razak

    Published 2016
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  15. 15
    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi

    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

    Published 2025
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  16. 16
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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  17. 17
    A Linear Prediction Based Estimation of Signal-to-Noise Ratio in AWGN Channel

    A Linear Prediction Based Estimation of Signal-to-Noise Ratio in AWGN Channel by Jeoti , Varun

    Published 2007
    “…The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. …”
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  18. 18
    Region and active contour-based segmentation technique for medical and weak-edged images

    Region and active contour-based segmentation technique for medical and weak-edged images by Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

    Published 2015
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  19. 19
    A Switching Criterion in Hybrid Quasi-Newton BFGS - Steepest Descent Direction

    A Switching Criterion in Hybrid Quasi-Newton BFGS - Steepest Descent Direction by Abu Hassan, Malik, Monsi, Mansor, Leong, Wah June

    Published 1999
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  20. 20
    A Linear Prediction Based Estimation of Signal-to-Noise Ratio in AWGN Channel

    A Linear Prediction Based Estimation of Signal-to-Noise Ratio in AWGN Channel by Nidal S., Kamel

    Published 2007
    “…The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. …”
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