Search Results - property distribution ((((sensor algorithm) OR (means algorithm))) OR (based algorithm))
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1
A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network
Published 2015“…However, 3GPP is not a standardized scheduling algorithm to utilize LTE properties in smart grid applications. …”
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2
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
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3
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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4
Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah
Published 2017“…Three types of clustering algorithm were used in this study, namely K - Means clustering, density based clustering and expectation maximization (EM) clustering algorithm. …”
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5
Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The finding reveals that the Weibull distribution is well-suited to describing the investment behaviour of the MPS based on the estimates via the SA algorithm. …”
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6
Enhanced Automated Framework For Cattle Tracking And Classification
Published 2022“…An enhanced object tracking algorithm (PFtmM) that integrates enhanced particle filter algorithm (PFtm) with mean-shift tracker (M) is proposed and deployed as first step to address the problems arise due to occurrence of occlusion and non-linear movement of cow objects in video. …”
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7
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…Generalized extreme value (GEV) distribution and generalized Pareto (GP) distribution are two main models in EV theory based on block maxima and threshold exceedances approaches. …”
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8
A Novel Approach Of Groebner Bases Computation For Safety Analysis Of Distributed Discrete Controllers
Published 2019“…One of the favorite topic is the formal verification via model checking, which is to verify whether a mathematical model of a system meets the formal specification that describes the property to be checked. In this research, our main objective is to generate a new model checking computation method based on Groebner bases algorithm for safety property analysis of distributed discrete controllers. …”
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A new Gompertz-three-parameter-lindley distribution for modeling survival time data
Published 2025“…The statistical properties of the proposed distribution including the shape properties, cumulative distribution, quantile functions, moment generating function, failure rate function, mean residual function, and stochastic orders are studied. …”
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10
Imaging of solid flow in a gravity flow rig using infra-red tomography
Published 2005“…The software development involves data acquisition system, sensor modeling, image algorithms, and programming for a tomographic display to provide solids flow information in pipeline such as concentration and velocity profiles. …”
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11
Evoluation strategy for collaborative beamforming in wireless sensor networks
Published 2013“…This group of distributed wireless sensor nodes intrinsically act as a set of virtual antenna array and inherit the natural highly directional transmission properties from conventional antenna array. …”
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12
Evolution strategy for collaborative beamforming in wireless sensor networks
Published 2013“…This group of distributed wireless sensor nodes intrinsically act as a set of virtual antenna array and inherit the natural highly directional transmission properties from conventional antenna array. …”
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13
Geometric feature descriptor and dissimilarity-based registration of remotely sensed imagery
Published 2024journal::journal article -
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Generating an adaptive and robust walking pattern for prosthetic ankle-foot utilizing a nonlinear autoregressive network with exogenous inputs / Hamza Al Kouzbary
Published 2021“…This three-level control structure has at least one element of discrete transition properties that requires many sensors to improve classification accuracy. …”
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15
Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Published 2023“…Statistical tools provide quantitative information about the intensity distribution of pixels in an image, capturing important statistical properties such as mean, standard deviation, skewness and kurtosis. …”
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16
The implementation of forward chaining algorithm in calculating inheritance property based on faraid law / Nur Ain Syafiqah Mohammad Marzuki
Published 2021“…Therefore, the purpose of this study is to facilitate the use of Forward Chaining Algorithm to calculate Faraid based on inheritance division. …”
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An efficient method for audio watermarking using SWT and mean value quantization
Published 2016“…The findings show high imperceptibility with subject difference grade SDG of 4.76; meanwhile high payload capacity with mean value of 176.4 bps is achieved. Hence, based on these results, the proposed audio watermarking method outperforms most of the previous studies…”
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18
Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen
Published 2016“…Thus coherent forecasting, which is based upon the k-step ahead conditional mean, median, mode and distribution, is considered. …”
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19
Parameter-driven count time series models / Nawwal Ahmad Bukhari
Published 2018“…The first part of the study derives the explicit solutions of the moment properties (mean, variance, skewness and kurtosis) of the distributions together with their respective autocovariance and autocorrelation functions, up to the ith order. …”
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20
Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of a flotation process
Published 2016“…The authors have already developed some reliable algorithms for measurement of the froth surface visual parameters such as bubble size distribution, froth color, velocity and stability. …”
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