Modeling and identification of nonlinear systems: A review of the multimodel approach—Part 1

AA Adeniran, S El Ferik - IEEE Transactions on Systems, Man …, 2016 - ieeexplore.ieee.org
The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …

Multiobjective identification of Takagi-Sugeno fuzzy models

TA Johansen, R Babuska - IEEE Transactions on Fuzzy …, 2003 - ieeexplore.ieee.org
The problem of identifying the parameters of the constituent local linear models of Takagi-
Sugeno fuzzy models is considered. In order to address the tradeoff between global model …

Paradigm of tunable clustering using binarization of consensus partition matrices (Bi-CoPaM) for gene discovery

B Abu-Jamous, R Fa, DJ Roberts, AK Nandi - PLoS One, 2013 - journals.plos.org
Clustering analysis has a growing role in the study of co-expressed genes for gene
discovery. Conventional binary and fuzzy clustering do not embrace the biological reality …

Computer-controlled mechanical simulation of the artificially ventilated human respiratory system

S Mesic, R Babuska, HC Hoogsteden… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
A mechanical lung simulator can be used to simulate specific lung pathologies, to test lung-
function equipment, and in instruction. A new approach to mechanical simulation of lung …

Fuzzy model identification of dengue epidemic in Colombia based on multiresolution analysis

C Torres, S Barguil, M Melgarejo, A Olarte - Artificial intelligence in …, 2014 - Elsevier
Objective This article presents a model of a dengue and severe dengue epidemic in
Colombia based on the cases reported between 1995 and 2011. Methodology We present a …

Clustering Files of Chemical Structures Using the Fuzzy k-Means Clustering Method

JD Holliday, SL Rodgers, P Willett… - Journal of chemical …, 2004 - ACS Publications
This paper evaluates the use of the fuzzy k-means clustering method for the clustering of
files of 2D chemical structures. Simulated property prediction experiments with the Starlist …

Reverse triggering? a novel or previously missed phenomenon?

R Jackson, A Kim, N Moroz, LF Damiani… - Annals of Intensive …, 2024 - Springer
Background Reverse triggering (RT) was described in 2013 as a form of patient-ventilator
asynchrony, where patient's respiratory effort follows mechanical insufflation. Diagnosis …

HR MAS 1H NMR spectroscopy analysis of marine microalgal whole cells

MS Chauton, OI Optun, TF Bathen, Z Volent… - Marine Ecology …, 2003 - int-res.com
To study the use of nuclear magnetic resonance (NMR) spectroscopy as a method of
classification, we performed high-resolution magic angle spinning proton (HR MAS 1 H) …

Success/failure prediction of noninvasive mechanical ventilation in intensive care units

F Martín-González, J González-Robledo… - … of information in …, 2016 - thieme-connect.com
Objectives: This paper addresses the problem of decision-making in relation to the
administration of noninvasive mechanical ventila tion (NIMV) in intensive care units …

Rule-based classification models of molecular autofluorescence

BH Su, YS Tu, OA Lin, YC Harn, MY Shen… - Journal of Chemical …, 2015 - ACS Publications
Fluorescence-based detection has been commonly used in high-throughput screening
(HTS) assays. Autofluorescent compounds, which can emit light in the absence of artificial …