Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Nedret Billor"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Independent component analysis (ICA) is a widely used blind source separation method for signal pre-processing. The determination of the number of independent components (ICs) is crucial for achieving optimal performance, as an incorrect cho
Externí odkaz:
https://doaj.org/article/583f83982eb94edc9ba88039e27f63e6
Autor:
Jingyi Zheng, Yuexin Li, Nedret Billor, Mustafa I. Ahmed, Yu-Hua Dean Fang, Betty Pat, Thomas S. Denney, Louis J. Dell’Italia
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundClass I echocardiographic guidelines in primary mitral regurgitation (PMR) risks left ventricular ejection fraction (LVEF) 60%. There are no models predicting LVEF
Externí odkaz:
https://doaj.org/article/43cc44bd949545e598bc4a8ab8a0cbb8
Autor:
Gifty E Acquah, Brian K Via, Oladiran O Fasina, Sushil Adhikari, Nedret Billor, Lori G Eckhardt
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0172999 (2017)
The objective of this study was to investigated the use of chemometric modeling of thermogravimetric (TG) data as an alternative approach to estimate the chemical and proximate (i.e. volatile matter, fixed carbon and ash contents) composition of lign
Externí odkaz:
https://doaj.org/article/cc4c216d59074a16891fd63176fd809d
Publikováno v:
Sensors, Vol 16, Iss 9, p 1375 (2016)
As new markets, technologies and economies evolve in the low carbon bioeconomy, forest logging residue, a largely untapped renewable resource will play a vital role. The feedstock can however be variable depending on plant species and plant part comp
Externí odkaz:
https://doaj.org/article/dc4506ac7ead458a839fa23477220bd7
Autor:
Yuan Kang, Nedret Billor
Publikováno v:
Journal of Data Science. 11:371-387
In this study, the data based on nucleic acid amplication tech- niques (Polymerase chain reaction) consisting of 23 dierent transcript vari- ables which are involved to investigate genetic mechanism regulating chlamy- dial infection disease by measur
Autor:
Nedret Billor, Jasdeep Pannu
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:4883-4903
The presence of outliers, in general, affects the performance of the conventional statistical methods which require the homogeneity of observations. In this study, we consider variable selection pr...
Publikováno v:
Journal of Neuroscience Methods. 376:109609
Electroencephalography (EEG) is a noninvasive method to record electrical activity of the brain. The EEG data is continuous flow of voltages, in this paper, we consider them as functional data, and propose a three-stage algorithm based on functional
Autor:
Salisa C. Westrick, Jingjing Qian, Brandon S. Johnson, Nedret Billor, Richard A. Hansen, Saranrat Wittayanukorn
Publikováno v:
American Journal of Clinical Oncology. 41:909-918
Although clinical trials have provided some data on the benefit of angiotensin-converting enzyme inhibitors (ACEIs) or β-blockers (BBs) in patients with chemotherapy-induced cardiotoxicity, evidence of ACEIs/BBs on prevention of trastuzumab and/or a
Publikováno v:
TEST. 28:785-803
A robust framework is proposed, based on polynomial spline estimation technique, for the estimation of the mean function of dense functional data, together with a simultaneous confidence band for the mean function. The robust simultaneous confidence
Publikováno v:
Annals of the Institute of Statistical Mathematics. 71:577-598
Estimating and constructing a simultaneous confidence band for the mean function in the presence of outliers is an important problem in the framework of functional data analysis. In this paper, we propose a robust estimator and a robust simultaneous