Receiving more accurate predictions for longitudinal dispersion coefficients in water pipelines: training group method of data handling using extreme learning …

F Saberi-Movahed, M Najafzadeh… - Water Resources …, 2020 - Springer
Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …

System identification: a multi-signal approach for probing neural cardiovascular regulation

X Xiao, TJ Mullen, R Mukkamala - Physiological measurement, 2005 - iopscience.iop.org
Abstract Short-term, beat-to-beat cardiovascular variability reflects the dynamic interplay
between ongoing perturbations to the circulation and the compensatory response of neurally …

A new algorithm for linear and nonlinear ARMA model parameter estimation using affine geometry [and application to blood flow/pressure data]

S Lu, KH Ju, KH Chon - IEEE Transactions on Biomedical …, 2001 - ieeexplore.ieee.org
A linear and nonlinear autoregressive (AR) moving average (MA)(ARMA) identification
algorithm is developed for modeling time series data. The new algorithm is based on the …

Analysing the accuracy of pavement performance models in the short and long terms: GMDH and ANFIS methods

H Ziari, J Sobhani, J Ayoubinejad… - Road materials and …, 2016 - Taylor & Francis
The accuracy of pavement performance prediction is a critical part of pavement
management and directly influences maintenance and rehabilitation strategies. Many …

Development, verification and use of gust modeling in the nasa computational fluid dynamics code fun3d

RE Bartels - 2012 - ntrs.nasa.gov
This paper presents the implementation of gust modeling capability in the CFD code
FUN3D. The gust capability is verified by computing the response of an airfoil to a sharp …

A novel approach to monitor nonstationary dynamics in physiological signals: application to blood pressure, pulse oximeter, and respiratory data

B Yang, KH Chon - Annals of biomedical engineering, 2010 - Springer
We propose a parametric time-varying (TV) algorithm which utilizes sinusoids as the basis
functions which are then projected onto sets of Legendre and Walsh functions for the …

[PDF][PDF] Adaptive neuro fuzzy inference system for predicting flexible pavement distress in tropical regions

A Milad, SA Majeed, I Adwan, NA Khalifa… - J Eng Sci …, 2022 - jestec.taylors.edu.my
The construction of asphalt pavement road networks is very costly for the government
budget. A flexible pavement maintenance prediction is unavoidable to reduce government …

A weighted-principal component regression method for the identification of physiologic systems

X Xiao, R Mukkamala, RJ Cohen - IEEE transactions on …, 2006 - ieeexplore.ieee.org
We introduce a system identification method based on weighted-principal component
regression (WPCR). This approach aims to identify the dynamics in a linear time-invariant …

Prediction research about small sample failure data based on ARMA model

JG Huang, H Luo, B Long… - 2009 IEEE Circuits and …, 2009 - ieeexplore.ieee.org
In this paper, conditions and methods of ARMA model's establishment and prediction were
detailed analyzed, which were based on correlation characteristics of sample failure data …

[图书][B] A novel NN paradigm for the prediction of hematocrit value during blood transfusion

J Thakkar - 2011 - search.proquest.com
During the Leukocytapheresis (LCAP) process used to treat patients suffering from acute
Ulcerative Colitis, medical practitioners have to continuously monitor the Hematocrit (Ht) …