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  1. 1
    Segmentation of MRI brain images using statistical approaches

    Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

    Published 2011
    “…The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
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    Thesis
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  2. 2
    Detection of multiple outliners in linear regression using nonparametric methods

    Detection of multiple outliners in linear regression using nonparametric methods by Adnan, Robiah

    Published 2004
    “…Generally, method proposed by Sebert et al. (1998) is based on the use of single linkage clustering algorithm with the Euclidean distances to cluster the points in the plots of standard predicted versus residuals values from a linear regression model. …”
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    Monograph
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  3. 3
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…Therefore, in this study SUREAutometrics is improvised using two MLE methods, which are iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm, named as SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics algorithms. …”
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  4. 4
    On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems

    On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems by Mohammed Ahmed, Adeeb Ali

    Published 2020
    “…The BS correlates the training signal with the established pilot reuse sequences of every UE to obtain a high-quality channel estimation. The channel quality of the users was enhanced by allocating orthogonal pilot reuse sequences to the center user and the edge user according to different levels of pilot contamination based on the large-scale fading that mitigated pilot contamination. …”
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  5. 5
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…The simulation results show the effectiveness of the ARDE method over other conventional techniques, transcending the limits of the existing state-of-the-art algorithms in estimating the parameters of robot. …”
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  6. 6
    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods

    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

    Published 2014
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    Academic Exercise
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  7. 7
    Multi-source data fusion framework for remote triaging and prioritization in telemedicine

    Multi-source data fusion framework for remote triaging and prioritization in telemedicine by Salman, Omar Hussein

    Published 2015
    “…As telemedicine consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the proposed frameworks as fusion algorithm in the base station and as healthcare services algorithm in the server was demonstrated. …”
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  8. 8
    Real time self-calibration algorithm of pressure sensor for robotic hand glove system

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…This provides a useful methodology for the user to evaluate the performance of any measurement system in a real-time environment.…”
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  9. 9
    Downlink capacity improvement of WCDMA system by using adaptive antenna with novel MDPC beamforming technique

    Downlink capacity improvement of WCDMA system by using adaptive antenna with novel MDPC beamforming technique by Kiong T.S., Koh J., Ismail M., Hassan A.

    Published 2023
    “…A dynamic radio network simulator was developed in Visual C++� to study the power consumption at WCDMA base station (Node B) and to estimate the downlink capacity improvement by implementing this novel algorithm. …”
    Conference paper
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  10. 10
    Downlink capacity improvement of WCDMA system by using adaptive antenna with novel MDPC beamforming technique

    Downlink capacity improvement of WCDMA system by using adaptive antenna with novel MDPC beamforming technique by Tiong, Sieh Keong, Koh, Johnny, Ismail, Mahamod, Hassan, Azmi

    Published 2006
    “…A dynamic radio network simulator was developed in Visual C++® to study the power consumption at WCDMA base station (Node B) and to estimate the downlink capacity improvement by implementing this novel algorithm. …”
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    Proceeding Paper
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  11. 11
    Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring

    Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring by Moghbel, Mehrdad, Mashohor, Syamsiah, Mahmud, Rozi, Saripan, M. Iqbal

    Published 2016
    “…The proposed framework is fully automatic requiring no user interaction. The proposed segmentation evaluated on real-world clinical data from patients is based on a hybrid method integrating cuckoo optimization and fuzzy c-means algorithm with random walkers algorithm. …”
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    Article
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  12. 12
    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique

    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

    Published 2005
    “…Results obtained by this technique are compared with the Jabatan Kerja Raya manual using conventional method to check accuracy. The algorithms developed in this study are capable of identifying type of cracking and its severity level at the accuracy about 90%. …”
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  13. 13
    Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin

    Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin by Basiruddin, Nurul Hafiza

    Published 2021
    “…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification which is the part of the Support Vector Machine (SVM) algorithm. …”
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  14. 14
    Malay festive seasons food recognition for calorie detection using SVM and ECOC approaches / Nurul Hafiza Binti Basiruddin, Zalikha Zulkifli and Samsiah Ahmad

    Malay festive seasons food recognition for calorie detection using SVM and ECOC approaches / Nurul Hafiza Binti Basiruddin, Zalikha Zulkifli and Samsiah Ahmad by Basiruddin, Nurul Hafiza, Zulkifli, Zalikha, Ahmad, Samsiah

    Published 2022
    “…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification, which is part of the Support Vector Machine (SVM) algorithm. …”
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  15. 15
    Coastal Priority Ranking in Oil Spill Response Decision Support Mechanism

    Coastal Priority Ranking in Oil Spill Response Decision Support Mechanism by Pourvakhshouri, Seyedeh Zahra

    Published 2008
    “…Millions of tons of oil are produced in the world every year and over half of it is transported to the users by means of marine routes. Based on statistics, a best estimate of oil spill is more than 3 million tons per year. …”
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  16. 16
    Semiparametric inference procedure for the accelarated failure time model with interval-censored data

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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  17. 17
    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model

    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

    Published 2023
    “…The evaluation is carried out based on multiple electric vehicles (EV) drive cycles with different Li-ion cells chemistry at varying ambient temperatures. …”
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  18. 18
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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  19. 19
    An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems

    An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems by Remli, Muhammad Akmal, Mohamad, Mohd Saberi, Deris, Safaai, Sinnott, Richard, Napis, Suhaimi

    Published 2019
    “…The improved algorithm is based on hybridization of quasi opposition-based learning in enhanced scatter search (QOBLESS) method. …”
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  20. 20
    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data

    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data by Baba, Ishaq Abdullahi

    Published 2022
    “…The proposed method inherits the robustness properties of the original RFCH estimators. …”
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