Search Results - (( variable location estimation algorithm ) OR ( java implication based algorithm ))
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1
New Algorithm of Location Model based on Robust Estimators and Smoothing Approach
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2
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…The reweighted fast, consistent and high breakdown (RFCH) estimator is a multivariate procedure used to estimate the robust location and scatter matrix. …”
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3
Multiple Linear Regression Models For Estimating True Subsurface Resistivity From Apparent Resistivity Measurements
Published 2018“…The parameters investigated are apparent resistivity ( a ), horizontal location (x) and depth (z) as independent variable; while true resistivity ( t ) is dependent variable.…”
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4
Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…The performance of MLѡвсн and four more modified ML-tests, namely MLtests with banded Cholesky estimator MLвсн with Thresholding MLтн with Weiszfeld Algorithm MLѡ and with Weiszfeld’s Algorithm Estimator and Thresholding MLѡтн had been examined using Type I error and power of test values in a simulation study. …”
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5
Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
Published 2016“…The Reweighted Multivariate Normal (RMVN) algorithm is incorporated in the algorithm of the BAE-Net. …”
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6
The Estimation of Air Temperature from NOAA/AVHRR Images and the study of NDVI-Ts impact
Published 2011“…The extraction of Land Surface Temperature Ts was the main objective in this study in order to estimate the ambient Air Temperature Ta over four locations in (Perak Tengah and Manjong) with variable surface cover types including: build-up areas, agricultural lands and forests. …”
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7
Acoustic emission partial discharge localization in oil based on artificial bee colony
Published 2025“…Therefore, the ABC was proposed to estimate the PD location through a colony of 120 bees, evenly divided into 60 employed and 60 onlooker bees. …”
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Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin
Published 2018“…In addition, an inter-observer variability test was performed and has shown that the proposed algorithm has comparable variability against manual luminal area estimations by expert human observers. …”
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9
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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11
An investigation of structural breaks on spot and futures crude palm oil returns
Published 2011“…Based on the Bai and Perron test results, we found two structural changes in tested returns mean series located in late 1998 and 1999. Additionally, the Inclan and Tiao Iterated Cumulative Sums of Squares (ICSS) algorithm test results identified some regime changes in futures crude palm oil variance located in late 1996, late 2001 and early 2008. …”
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12
Fuzzy logic-based arrival time estimation for indoor navigation using augmented reality
Published 2025“…This study proposes a mobile AR application for indoor navigation that uses an intelligent signage algorithm based on fuzzy logic to estimate arrival time. …”
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13
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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14
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statisticaldistribution.…”
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15
Optimal timber transportation planning in tropical hill forest using bees algorithm
Published 2022“…The planning depends on the legal restrictions, fixed and variable costs, landing locations, as well as the existing and proposed road network. …”
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Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin
Published 2021“…The third estimate is obtained by using the tangent line of f (x) at the second estimate. …”
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18
Optimizing timber transportation planning for timber harvesting using bees algorithm in Malaysia
Published 2023“…Two types of extraction machines with unique characteristics to be applied in timber harvest area in Malaysia is combined for timber harvesting with the aim each machine will extract timber suitable to their ability. A Bees Algorithm (BA) was proposed to find an optimum TTP for timber extraction, forest road, and landing locations with grid cell-sized 10 m × 10 m and attributed with fixed and variable costs. …”
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19
Creating Air Temperature Models for High-Elevation Desert Areas Using Machine Learning
Published 2023“…The standard way to measure the air temperature (Ta) as the key variable in climate change studies is at 2m height above the surface at a fixed location (weather station). …”
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