Results 11 to 20 of about 333,618 (298)

Accuracy of 3D geodetic coordinates transformation algorithms

open access: yesGeodesy and Cartography, 2012
Accuracy of 3D geodetic coordinates transformed from one coordinate system to another is analysed. Values of transformation parameters are computed by least-squares adjustment method.
Jonas Skeivalas
doaj   +2 more sources

Accuracy of geodetic coordinates using Helmert transformation algorithm

open access: yesGeodesy and Cartography, 2012
Accuracy of geodetic coordinates transformed from one coordinate system to another is analysed in the publication. Values for transformation parameters are computed using the least-squares method.
Jonas Skeivalas
doaj   +2 more sources

Numerical Accuracy Improvement by Interprocedural Program Transformation [PDF]

open access: yesProceedings of the 20th International Workshop on Software and Compilers for Embedded Systems, 2017
Floating-point numbers are used to approximate the exact real numbers in a wide range of domains like numerical simulations, embedded software, etc. However, floating-point numbers are a finite approximation of real numbers. In practice, this approximation may introduce round-off errors and this can lead to catastrophic results. To cope with this issue,
Nasrine Damouche   +2 more
openaire   +3 more sources

Analysis of the algorythms accuracy of the plane and space geodetic coordinates transformation

open access: yesGeodesy and Cartography, 2012
The accuracy of the coordinates computed by transformation from one system to another is analysed. Values of transformation parameters are computed by the least-square method taking into account the accuracy of the coordinates of the identical points in ...
Jonas Skeivalas, Robertas Dargis
doaj   +2 more sources

MUfoldQA_G: High-accuracy protein model QA via retraining and transformation

open access: yesComputational and Structural Biotechnology Journal, 2021
Protein tertiary structure prediction is an active research area and has attracted significant attention recently due to the success of AlphaFold from DeepMind.
Wenbo Wang   +4 more
doaj   +1 more source

Prediction of wax deposit thickness in waxy crude oil pipelines using improved GM(1,1) model

open access: yesFrontiers in Chemical Engineering, 2022
In this paper, the GM(1,1) model with function arccosx transformation and GM(1,1) model with function transformation are established by using arccosine function transformation method and aarccosx function transformation method, and the GM(1,1) model with
Shiqi Xu   +4 more
doaj   +1 more source

Impact of Box-Cox Transformation on Machine-Learning Algorithms

open access: yesFrontiers in Artificial Intelligence, 2022
This paper studied the effects of applying the Box-Cox transformation for classification tasks. Different optimization strategies were evaluated, and the results were promising on four synthetic datasets and two real-world datasets.
Luca Blum, Mohamed Elgendi, Carlo Menon
doaj   +1 more source

Nonlinearity of Magnetic Core in Evaluation of Current and Phase Errors of Transformation of Higher Harmonics of Distorted Current by Inductive Current Transformers

open access: yesIEEE Access, 2020
The novelty of the paper contributes to the increase of the reliability of the methods used for evaluation of the inductive CTs accuracy of transformation of the distorted current.
Michal Kaczmarek, Ernest Stano
doaj   +1 more source

Statistical Evaluation of Transformation Methods Accuracy on Derived Pathological Vectorcardiographic Leads

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2022
Objective: Vectorcardiography (VCG) as an alternative form of ECG provides important spatial information about the electrical activity of the heart.
Jaroslav Vondrak, Marek Penhakert
doaj   +1 more source

An Improved Accuracy of Multiclass Random Forest Classifier with Continuous Attribute Transformation Using Random Percentile Generation [PDF]

open access: yes, 2023
This study aims to improve classification accuracy by transforming continuous attributes into categories by randomly generating percentile values as categorization limits. Four algorithms were compared for the generation of percentile values and selected
Satriyanto, Edi; Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, 60111 Indonesia   +3 more
core   +1 more source

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