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  1. 1

    The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM) by Mohd Yusoff, Mohd Izhan, Abu Bakar, Mohd. Rizam, Mohd Nor, Abu Hassan Shaari

    Published 2009
    “…Expectation Maximization (EM) algorithm has experienced a significant increase in terms of usage in many fields of study. …”
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    Article
  2. 2

    Airline flight delay prediction using Naïve Bayes algorithm / Ahmad Adib Baihaqi Shukri by Shukri, Ahmad Adib Baihaqi

    Published 2024
    “…However, flight delays have become a growing concern, impacting both airlines and passengers. This study aims to study the Naïve Bayes algorithm for flight delay prediction. …”
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    Thesis
  3. 3

    Machine learning approach of predicting Airline flight delay using Naïve Bayes Algorithm / Ahmad Adib Baihaqi Shukri ... [et al.] by Shukri, Ahmad Adib Baihaqi, Mohamed Yusoff, Syarifah Adilah, Warris, Saiful Nizam, Abu Bakar, Mohd Saifulnizam, Kadar, Rozita

    Published 2024
    “…However, flight delays have become a growing concern, impacting both airlines and passengers. This study aims to study the Naïve Bayes algorithm for flight delay prediction. …”
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    Determining the order of a moving average model of time series using reversible jump MCMC: a comparison between laplacian and gaussian noises by Suparman, Suparman, Abdellah Salhi, Abdellah Salhi, Rusiman, Mohd Saifullah

    Published 2020
    “…Moving average (MA) is a time series model often used for pattern forecasting and recognition. It contains a noise that is often assumed to have a Gaussian distribution. …”
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    Generation of self similar network traffic using DFGN algorithm / Che Ku Noreymie Che Ku Jusoh by Che Ku Jusoh, Che Ku Noreymie

    Published 2006
    “…This thesis discusses the generation of network traffic using discrete Fractional Gaussian Noise (dFGN) algorithm. …”
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    Thesis
  9. 9

    Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness by Ahmad Basri, Nur Ain Zafirah

    Published 2018
    “…Therefore, this fuzzy control charts by using Gaussian fuzzy numbers can be used to monitor the quality of a product.…”
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  10. 10

    Detection of Gaussian noise and its level using deep convolutional neural network by Chuah, J.H., Khaw, H.Y., Soon, F.C., Chow, C.O.

    Published 2017
    “…This study presents a Convolutional Neural Network (CNN) model to effectively recognize the presence of Gaussian noise and its level in images. …”
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    Detection of Gaussian noise and its level using deep convolutonal neural network by Joon, H.C., Hui, Y.K., Foo, C.S., Chee, O.C.

    Published 2017
    “…This study presents a Convolutional Neural Network (CNN) model to effectively recognize the presence of Gaussian noise and its level in images. …”
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    Conference or Workshop Item
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    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO) by Liew, Jia Hun

    Published 2024
    “…It has been used to solve various dynamic problems, including gas leak detection in drone-based leak detection platforms. …”
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    Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data by Fanos, Ali Mutar, Pradhan, Biswajeet, Mansor, Shattri, Md Yusoff, Zainuddin, Abdullah, Ahmad Fikri, Jung, Hyung Sup

    Published 2019
    “…In addition, this technique has achieved excellent accuracies (ROC = 95%) over other methods used. Moreover, the proposed model has achieved the optimal prediction accuracies (92%) on the basis of testing data, thereby indicating that the model can be generalised and replicated in different regions, and the proposed method can be applied to various landslide studies.…”
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    Article
  17. 17

    Review of image denoising algorithms based on the wavelet transformation by Khmag, Asem, Ramli, Abdul Rahman, Hashim, Shaiful Jahari, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2013
    “…However, to review various denoising algorithms using wavelet transform; those algorithms are discussed and showed how the appearance and quality of the noisy image can be improved. …”
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  18. 18

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Taking advantage of the data generated from the process, this study explores the performance of twelve machine learning algorithms built on the support vector machine (SVM), the Gaussian process regression (GPR), and the non-linear response quadratic model (NLRQM) using Sequential quadratic programming, and the Levenberg-Marquardt algorithms. …”
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    Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar by Ahlad, Kumar

    Published 2016
    “…In the first method, the framework of variational method is formulated in moment domain to implement deblurring of the Gaussian and motion blurred images using Euler-Lagrange identity and alternate minimization (AM) algorithm. …”
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    Thesis