Results 21 to 30 of about 37,129 (261)

The Effectiveness of the Huber's Weight on Dispersion and Tuning Constant: A Simulation Study

open access: yesScientific Annals of Economics and Business, 2023
Dispersion measurement and tuning constants are critical aspects of a model's robustness and efficiency. However, in the presence of outliers, the standard deviation is not a reliable measure of dispersion in Huber's weight. This research aimed to assess
Intan Martina Md Ghani, Hanafi A Rahim
doaj   +1 more source

COMPARING ACCURACY OF ULTRA-DENSE LASER SCANNER AND PHOTOGRAMMETRY POINT CLOUDS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Massive point clouds have now become a common product from surveys using passive (photogrammetry) or active (laser scanning) technologies. A common question is what is the difference in terms of accuracy and precision of different technologies and ...
F. Pirotti   +7 more
doaj   +1 more source

Determination of an optimum voxel size based on statistical methods in the Kahang Cu porphyry deposit, Central Iran [PDF]

open access: yesJournal of Mining and Metallurgy. Section A: Mining, 2015
The aim of this study is to determine an optimum voxel size in the Kahang Cu porphyry deposit (Central Iran) using statistical parameters and vector analysis based on the 26 drilled boreholes.
Yasrebi A.B.   +4 more
doaj   +1 more source

Water Level Change of Qinghai Lake from ICESat and ICESat-2 Laser Altimetry

open access: yesRemote Sensing, 2022
Long-term satellite observations of the water levels of lakes are crucial to our understanding of lake hydrological basin systems. The Ice, Cloud, and Land Elevation satellite (ICESat) and ICESat-2 were employed to monitor the water level of Qinghai Lake
Weixiao Han   +5 more
doaj   +1 more source

An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain images

open access: yesBMC Medical Imaging, 2020
Background The Rician noise formed in magnetic resonance (MR) imaging greatly reduced the accuracy and reliability of subsequent analysis, and most of the existing denoising methods are suitable for Gaussian noise rather than Rician noise.
Kaixin Chen   +5 more
doaj   +1 more source

Bootstrap Confidence Intervals for 11 Robust Correlations in the Presence of Outliers and Leverage Observations

open access: yesMethodology, 2022
Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s correlation (r) is a widely-employed statistic for assessing bivariate linearity.
Johnson Ching-Hong Li
doaj   +1 more source

Quantifying the average and the likelihood of increases in space weather indices and in situ measurements during Solar Cycles 20–23 [PDF]

open access: yes, 2013
It is known that space weather harshly affects spacecraft performance, yet spacecraft operations and understanding the cause of anomalies can be challenging due to the complexity of environmental metrics. In this work, we analyse five metrics and in-situ
Cahoy, Kerry   +3 more
core   +1 more source

Quantitative assessment of polymetallic pollution of the dnieper river by a method of heavy metals background concentration calculation in mussel Anodonta anatina

open access: yesVìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Bìologìâ, Ekologìâ, 2009
Statistically significant exceeding of a background level of the heavy metal content in Anodonta anatina (Linnaeus, 1758) soft tissues was applied for pollution measure.
D. V. Lukashov
doaj   +1 more source

Robust process capability indices Cpm and Cpmk using Weibull process

open access: yesScientific Reports, 2023
Process Capability Indices (PCIs) are very helpful to measure the manufacturing capability and production quality of the products in many manufacturing processes.
Muhammad Kashif   +3 more
doaj   +1 more source

Photometric redshifts for Quasars in multi band Surveys [PDF]

open access: yes, 2013
MLPQNA stands for Multi Layer Perceptron with Quasi Newton Algorithm and it is a machine learning method which can be used to cope with regression and classification problems on complex and massive data sets.
Brescia, M.   +4 more
core   +3 more sources

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