Search Results - (( based distributed gamma algorithm ) OR ( java implication based algorithm ))

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  1. 1

    A bayesian via laplace approximation on log-gamma model with censored data by Yusuf, Madaki Umar, Abu Bakar, Mohd Rizam, Husain, Qasim Nasir, Ibrahim, Noor Akma, Arasan, Jayanthi

    Published 2016
    “…Log-gamma distribution is the extension of gamma distribution which is more flexible, versatile and provides a great fit to some skewed and censored data. …”
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    Statistical performance of agglomerative hierarchical clustering technique via pairing of correlation-based distances and linkage methods by Nurshaziana, Mohamad Shamsuri

    Published 2025
    “…Five tables of summary for choosing appropriate clustering algorithms according to data distribution were produced. …”
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    Thesis
  4. 4

    Estimation of Information Measures for Power-Function Distribution in Presence of Outliers and Their Applications by Hassan, Amal Soliman, Elsherpieny, Elsayed Ahmed, Mohamed, Rokaya Elmorsy

    Published 2022
    “…In the Bayesian method, the Bayesian estimators of the entropies under uniform and gamma priors were acquired based on different loss functions. …”
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    Correcting blue-shift in single-image dehazing via haze-compensated Von Kries adaptation by Abdullah, Asniyani Nur Haidar, Mohd Rahim, Mohd Shafry, Sim, Hiew Moi, Draman @ Muda, Azah Kamilah, Basori, Ahmad Hoirul, Yudistira, Novanto

    Published 2025
    “…Traditional dehazing methods, including prior-based approaches (e.g., DCP, CAP, LPMinVP) and preprocessing techniques (e.g., ICAP WB, Dynamic Gamma), improve visibility but fail to correct hazeinduced color imbalance, resulting in unstable RGB distributions and unnatural tone reproduction. …”
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    Covariance matrix analysis in simultaneous localization and mapping by Nur Aqilah, Othman

    Published 2016
    “…One of the biggest challenges in implementing H∞ filter-based SLAM is the manual parameter tuning. Thus, this thesis also proposes a sufficient condition for the estimation of H∞ filter-based SLAM by providing a lower boundary of the selection for the parameter gamma under specific assumptions and environmental conditions. …”
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    Thesis
  11. 11

    A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform by Mahmmod, Basheera M.

    Published 2018
    “…The analytical solution is derived from the assumption that speech and noise components can be modeled based on a combination between Gamma and Laplacian distributions. …”
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    Thesis