Results 41 to 50 of about 20,183,106 (289)
, 2009 This paper is concerned with nonparametric identification of nonlinear autoregressive systems with exogenous inputs (NARX), i.e., $y_{k+1}=f(y_k,cdots,y_{k+1 n_0},u_k,cdots,u_{k+1-n_0})+varepsilon_{k+1}$.
Wen-Xiao Zhao +3 more
core +1 more source
Dendrite Net with Acceleration Module for Faster Nonlinear Mapping and System Identification
Mathematics, 2022 Nonlinear mapping is an essential and common demand in online systems, such as sensor systems and mobile phones. Accelerating nonlinear mapping will directly speed up online systems.
Gang Liu +5 more
doaj +1 more source
Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells
FEBS Open Bio, EarlyView.Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla +10 more
wiley +1 more source
Archives of Acoustics, 2013 The development of digital signal processors and the increase in their computing capabilities bring opportunities to employ algorithms with multiple variable parameters in active noise control systems.
Tomasz KRUKOWICZ
doaj
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Applied SciencesExploring the design of beneficial nonlinear restoring force structures has become a highly popular topic due to their extensive applications in energy harvesting, actuation, energy absorption, robotics, etc.
Qinghua Liu
doaj +1 more source
Data-Driven Photovoltaic System Modeling Based on Nonlinear System Identification
International Journal of Photoenergy, 2016 Solar photovoltaic (PV) energy sources are rapidly gaining potential growth and popularity compared to conventional fossil fuel sources. As the merging of PV systems with existing power sources increases, reliable and accurate PV system identification is
Ayedh Alqahtani +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source
Identification of Nonlinear Systems [PDF]
2017 European Conference on Electrical Engineering and Computer Science (EECS), 2017 In this work, the problem of identifying nonlinear systems is proposed. This latter is structured by Wiener systems. This latter (Wiener models) consist of linear dynamic subsystem followed by a nonlinearity function. The nonlinear systems identification is an active research area.
Adil Brouri +2 more
openaire +2 more sources
Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach
Applied SciencesMost works related to the identification of mathematical nonlinear systems suggest that such approaches can always be directly applied to any nonlinear system. This misconception is greatly discouraging when the obtained results are not expected.
Rodolfo Daniel Velázquez-Sánchez +4 more
doaj +1 more source