Search Results - (( rate estimation clustering algorithm ) OR ( normal distribution practices algorithm ))*
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1
Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…Unfortunately, these algorithms suffer with several drawbacks such as the tendency to be trapped or stagnate into local optima and slow convergence rates. …”
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2
Semiparametric binary model for clustered survival data
Published 2014“…We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. …”
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3
Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…In the initialization stage, the reader uses improved K-means clustering running concurrently with a tag counter algorithm to cluster tags into K groups using tags RN16 while the counter returns an accurate tag number estimate. …”
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4
Machine learning for mapping and forecasting poverty in North Sumatera: a datadriven approach
Published 2024“…The poverty mapping showed a significant inertia value decline in the third and fourth clusters of the elbow graph. The third cluster (0.313) was superior to the fourth cluster (0.244) in the silhouette index. …”
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5
A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens
Published 2017“…The proposed algorithm comprises Laplacian sharpening filter, clustering-based threshold selection, unweighted least square estimator, and segment a square ROI from the noisy images. …”
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6
Dynamic robust bootstrap method based on LTS estimators
Published 2009“…The applications of bootstrap methods in regression analysis have drawn much attention to the statistics practitioners because of some practical reasons. In order to make reliable inferences about the parameters of a model, require that the parameter estimates are normally distributed. …”
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7
Text independent speaker identification using gaussian mixture model
Published 2007“…For speaker model training, a fast re-estimation algorithm based on highest likelihood mixture clustering is introduced. …”
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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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10
Dose verification procedures in radiotherapy
Published 1999“…In radiotheraphy the accuracy of the radiation dose to be delivered to patient is vital.In the current practice the dose to be delivered by the treatment machine is calculated using computer planning system which utilised computational algorithms based on mathematical model that takes into account the shape of treatment beam, target geometry and tissue inhomogeneities present in the patient. …”
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11
REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…The resulting regions map is compressed by employing quadtree algorithm and communicated to the encoder via the feedback channel. …”
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12
Software reusability in green computing / Ibraheem Y. Y. Ahmaro
Published 2013“…Reliability analysis, factor analysis, normality analysis, correlation analysis and regression analysis are used to analyze the amassed data. …”
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13
Determining penetration limit of central distributed generation topology in radial distribution networks
Published 2021“…The voltage profiles, distributed generation capacity required, and the penetration limit have shown better performances on the central distributed generation topology over the bus dedicated distributed generation topology. …”
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14
Land use evaluation for Kuala Selangor, Malaysia using remote sensing and GIS technologies
Published 2007“…In evaluating landuse for sustainable use of natural resources several maps were taken as parameters and obtained from digital classification of SPOT 2005 data by means of supervised modes with maximum likelihood algorithm using necessary ground truth data. The vegetation density using Normalized Differential Vegetation Index (NDVI) of Kuala Selangor was classified into five categories, namely, very high (775.51 km2), high (182.61km2), moderate (67.07 km2), low (77.44 km2), and non-vegetation areas (91.35 km2). …”
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15
Channel Modelling and Estimation in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing Wireless Communication Systems
Published 2008“…New time-domain (TD) adaptive estimation methods based on recursive least squares (RLS) and normalized least-mean squares (NLMS) algorithms are proposed. …”
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16
Determination of blood cholinesterase, neurobehavioral performance and genetic damage due to organophosphate exposure among male cocoa farmers in Pahang and Perak, Malaysia
Published 2022“…In summary, the cocoa management has established good labour practices and guidelines for cocoa farmers to follow when handling pesticides. …”
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