Search Results - (( zakat distribution _ algorithm ) OR ( parametric estimation clustering algorithm ))
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1
Semiparametric binary model for clustered survival data
Published 2014“…A backfitting algorithm is used in the derivation of the estimating equation for the parametric and nonparametric components of a semiparametric binary covariate model. …”
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2
Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…The overall performances of the three proposed frameworks have been compared with several current state-of-the-art clustering algorithms on 15 benchmark datasets from the UCI repository. …”
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3
Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor
Published 2017“…As for the multiple outliers, a clustering algorithm is considered and a dendogram to visualise the clustering algorithm is used. …”
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Assessments of the data management practices in zakat institutions in Malaysia: a concept paper
Published 2025“…As zakat institutions are responsible for collecting and distributing funds to eligible recipients, efficient data handling and analysis are critical for decision-making and ensuring transparency in zakat distribution. …”
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Proceeding Paper -
6
Online zakat application system for UiTM Tapah using fuzzy logic / Maizatul Asyikin Mokhtar
Published 2016“…This research is about the application of fuzzy logic algorithm in applying zakat. Currently, zakat application of UiTM Tapah is done by filling out the appropriate form manually. …”
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7
Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems
Published 2005“…One problem when modeling frequency selective fading is that each cluster has to be assigned spatial parameters. Since the joint spatial and temporal characteristics are unknown, non-parametric channel estimation approaches are required in this case in order to estimate the channel parameter, which is the subject of the second part. …”
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8
Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach
Published 2010“…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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