Results 51 to 60 of about 588,905 (213)

DIC-Aided Mechanoluminescent Film Sensor for Quantitative Measurement of Full-Field Strain

open access: yesSensors
To break through the bottleneck in the mapping of the mechanoluminescent (ML) intensity field to the strain field, a quantification method for full-field strain measurement based on pixel-level data fusion is proposed, integrating ML imaging with digital
Guoqing Gu, Liya Dai, Liyun Chen
doaj   +1 more source

Comparative study between local and global optimization for Heston model

open access: yesRatio Mathematica, 2022
The objective of this study is to estimate the calibration parameters of the Heston stochastic volatility model by the two optimization methods: local and global, then to compare their performances and finally to recommend one of the two methods.
Mohammed Bouasabah
doaj   +1 more source

Efficient generic calibration method for general cameras with single centre of projection [PDF]

open access: yes, 2007
Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was developed with the goal of generality and it is therefore sub-optimal for the ...
John Mallon   +5 more
core   +1 more source

Cloning instruments, model maintenance and calibration transfer [PDF]

open access: yes
Most literature on the application of Non-Destructive Spectral Sensors (NDSS) reports proofs of concept limited to model calculation (calibration) and its application on a so-called independent data set (validation, or test).
Ramin, Nikzad-Langerodi   +2 more
core   +1 more source

More Accurate Pinhole Camera Calibration with Imperfect Planar Target [PDF]

open access: yes, 2011
This paper presents a novel approach to camera calibration that improves final accuracy with respect to standard methods using precision planar targets, even if now inaccurate, unmeasured, roughly planar targets can be used.
Hirzinger, Gerd   +3 more
core   +1 more source

Calibration of a continuous hydrologic simulation model in the urban Gowrie Creek catchment in Toowoomba, Australia [PDF]

open access: yes, 2022
Study region: Toowoomba, Queensland, Australia Study focus: In this study we derive loss model parameters suitable for use in the dynamic loss Australian Representative Basin Model (ARBM) through the calibration of a continuous simulation hydrologic ...
McDougall, K.   +4 more
core   +1 more source

Elastic Bayesian Model Calibration

open access: yesSIAM/ASA Journal on Uncertainty Quantification
Functional data are ubiquitous in scientific modeling. For instance, quantities of interest are modeled as functions of time, space, energy, density, etc. Uncertainty quantification methods for computer models with functional response have resulted in tools for emulation, sensitivity analysis, and calibration that are widely used.
Devin Francom   +4 more
openaire   +2 more sources

IntCal04 terrestrial radiocarbon age calibration, 0-26 cal kyr BP [PDF]

open access: yes, 2004
A new calibration curve for the conversion of radiocarbon ages to calibrated (cal) ages has been constructed and internationally ratified to replace ImCal98, which extended from 0-24 cal kyr BP (Before Present, 0 cal BP = AD 1950).
Buck, C. E.   +160 more
core   +1 more source

Hyperspectral Empirical Absolute Calibration Model Using Libya 4 Pseudo Invariant Calibration Site

open access: yesRemote Sensing, 2021
The objective of this paper is to find an empirical hyperspectral absolute calibration model using Libya 4 pseudo invariant calibration site (PICS). The approach involves using the Landsat 8 (L8) Operational Land Imager (OLI) as the reference radiometer ...
Manisha Das Chaity   +3 more
doaj   +1 more source

Calibration of Continual Learning Models

open access: yes2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Continual Learning (CL) focuses on maximizing the predictive performance of a model across a non-stationary stream of data. Unfortunately, CL models tend to forget previous knowledge, thus often underperforming when compared with an offline model trained jointly on the entire data stream.
Li, Lanpei   +4 more
openaire   +5 more sources

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