Results 11 to 20 of about 1,081,533 (280)

Galaxy Rotation Curve Fitting Using Machine Learning Tools

open access: yesUniverse, 2023
Galaxy rotation curve (RC) fitting is an important technique which allows the placement of constraints on different kinds of dark matter (DM) halo models. In the case of non-phenomenological DM profiles with no analytic expressions, the art of finding RC
Carlos R. Argüelles, Santiago Collazo
doaj   +1 more source

3D CATENARY CURVE FITTING FOR GEOMETRIC CALIBRATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
In modern road surveys, hanging power cables are among the most commonly-found geometric features. These cables are catenary curves that are conventionally modelled with three parameters in 2D Cartesian space. With the advent and popularity of the mobile
T.-O. Chan, D. D. Lichti
doaj   +1 more source

Fitting Method of Optimal Energy-Running Time Curve Based on Train Operation Data of an Urban Rail Section

open access: yesJournal of Advanced Transportation, 2021
Due to the complexity of the operation control of urban rail transit and diversity requirements for section running time standards, based on actual train operation data, this paper proposes a curve fitting method to find the interrelation between running
Lianbo Deng   +3 more
doaj   +1 more source

Models for COVID-19 Daily Confirmed Cases in Different Countries

open access: yesMathematics, 2021
In this paper, daily confirmed cases of COVID-19 in different countries are modelled using different mathematical regression models. The curve fitting is used as a prediction tool for modeling both past and upcoming coronavirus waves.
Hamdy M. Ahmed   +3 more
doaj   +1 more source

Functional Curve Fitting Algorithm via Multi-Heterogeneous Data Curve

open access: yesIEEE Access, 2017
Complex computing based on multi-heterogeneous parameters can utilize the Lebesgue measure to measure their linear and non-linear relations in infinite dimensional Hilbert space, which can characterize those different dimensional characteristics in a set
Laixin Shen   +3 more
doaj   +1 more source

Bayesian curve fitting for lattice gauge theorists [PDF]

open access: yes, 2001
A new method of extracting the low-lying energy spectrum from Monte Carlo estimates of Euclidean-space correlation functions which incorporates Bayesian inference is described and tested.
Asakawa   +14 more
core   +2 more sources

Investigating bias in the application of curve fitting programs to atmospheric time series [PDF]

open access: yes, 2014
The decomposition of an atmospheric time series into its constituent parts is an essential tool for identifying and isolating variations of interest from a data set, and is widely used to obtain information about sources, sinks and trends in climatically
Manning, A.C., Pickers, P.A.
core   +3 more sources

Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases

open access: yesMathematics, 2020
This paper proposes a method for learning the process of curve fitting through a general class of totally positive rational bases. The approximation is achieved by finding suitable weights and control points to fit the given set of data points using a ...
Rocio Gonzalez-Diaz   +3 more
doaj   +1 more source

Digital measurement of lightning impulse parameters using curving fitting algorithms [PDF]

open access: yes, 1999
This paper describes the application of curve fitting algorithms to aid the evaluation of lightning impulse parameters. A number of popular curve fitting algorithms have been evaluated and compared.
Blackett, J.   +4 more
core   +1 more source

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