Results 1 to 10 of about 701,249 (164)
European Physical Journal C: Particles and Fields, 2022 The estimation of parameters from data is a common problem in many areas of the physical sciences, and frequently used algorithms rely on sets of simulated data which are fit to data.
Daniel Britzger
doaj +4 more sources
Universal Linear Fit Identification: A Method Independent of Data, Outliers and Noise Distribution Model and Free of Missing or Removed Data Imputation. [PDF]
PLoS ONE, 2015 Data processing requires a robust linear fit identification method. In this paper, we introduce a non-parametric robust linear fit identification method for time series.
K K L B Adikaram +3 more
doaj +2 more sources
Frontiers in Neuroscience, 2021 BackgroundLongitudinal brain MRI monitoring in neurodegeneration potentially provides substantial insights into the temporal dynamics of the underlying biological process, but is time- and cost-intensive and may be a burden to patients with disabling ...
Hans-Peter Müller +4 more
doaj +1 more source
Antioxidants, 2021 The clinical utility of the chemotherapeutic drug cisplatin is significantly limited by its nephrotoxicity, which is characterized by electrolytic disorders, glomerular filtration rate decline, and azotemia.
Alfredo G. Casanova +6 more
doaj +1 more source
Simulating the Overlapping Patterns of Irrigation Sprinklers Using Computer Model [PDF]
Journal of Soil Sciences and Agricultural Engineering, 2017 A comprehensive computer model, HEDIA, was created to simulate sprinklers water overlapping patterns theoretically by one sprinkler superimposition technique under selected layout design. This model can also calculate uniformity coefficients, application
Abeer Hedia +3 more
doaj +1 more source
Frontiers in Water, 2021 Water quality models use log-linear decay to estimate the inactivation of fecal indicator bacteria (FIB). The decay of molecular measurements of FIB does not follow a log-linear pattern.
Yolanda M. Brooks +2 more
doaj +1 more source
Regression with Gaussian Mixture ModelsApplied to Track Fitting
Instruments, 2020 This note describes the application of Gaussian mixture regression to track fitting with a Gaussian mixture model of the position errors. The mixture model is assumed to have two components with identical component means.
Rudolf Frühwirth
doaj +1 more source
IET Signal Processing, 2016 Dynamic estimation in signal processing and target tracking often involves non‐linear models. These non‐linear models are usually linearised through the first‐order Taylor approximation in estimation process. However, the error generated by the first‐order Taylor approximation is not negligible when the non‐linearity of a model is high or the input ...
Yuanbo Xiong, Xionghu Zhong
openaire +1 more source
AN EMPIRICAL STUDY ON THE IMPACT FROM THE ANTECEDENTS OF PERSON ORGANISATION FIT AFFECTING A WRIST WATCH MANUFACTURING UNIT IN TAMIL NADU [PDF]
ICTACT Journal on Management Studies, 2017 This paper presents and tests a theoretical model of person-organization (P-O) fit and its antecedents among 243 employees working in a wrist watch manufacturing unit in Tamil Nadu.
J. Praveen Paul, M. Silambarasan
doaj +1 more source
A Line Fitting Algorithm: Linear Fitting on Locally Deflection (LFLD)
International Journal of Applied Mathematics Electronics and Computers, 2022 The main motivation of the study is to prevent and optimize the deviations in linear connections with complex calculations related to the previous and next steps. This purpose is used for more stable detection and therefore segmentation of object edge/corner regions in Quality Control Systems with Image Processing and Artificial Intelligence algorithms
Mahmut Sami Yasak +1 more
openaire +2 more sources