Results 51 to 60 of about 16,686,076 (335)

Structural Nonlinear Damage Identification Method Based on the Kullback–Leibler Distance of Time Domain Model Residuals

Remote Sensing, 2023
Under external load excitation, damage such as breathing cracks and bolt loosening will cause structural time domain acceleration to have nonlinear features.
Heng Zuo, Huiyong Guo
doaj   +1 more source

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

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, Shaoxin Tao, Qiujia Wang, Xiaoyu Xu, Hui Yao, Zheng Liu, Dawei Li, Zhandong Qiu, Jinming Han, Jiangwei Xia, Qi Wang, Jun Sun, Kai Shao, Jiao Li, Shishuang Ruan, Yi Zhong, Jun Guo, Shougang Guo, Yue Huang, Guoliang Chai, Tao Jin, Hongyu Zhou, Junwei Hao, Yinan Zhao   +23 more
wiley   +1 more source

Identification of a nonlinear dynamic biological model using the dominant parameter selection method

, 2010
The identification of nonlinear models sometimes encounters problems because of the limited amount of available measurements in combination with a large number of uncertain model parameters to be identified.
Gutman Per-O, Ramirez Sosa Moran, M.I., Ioslovish, I.   +2 more
core   +1 more source

Nonlinear hybrid system identification with kernel models [PDF]

49th IEEE Conference on Decision and Control (CDC), 2010
This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducing nonparametric models based on kernel functions in order to estimate arbitrary nonlinearities without prior knowledge.
Fabien Lauer, Gérard Bloch, René Vidal
openaire   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu, Jie‐Jie Li, Jing Jing, Jin‐Xi Lin, Xia Meng, Yong Jiang, Yong‐Jun Wang, Hong‐Qiu Gu   +7 more
wiley   +1 more source

Identification of nonlinear systems using generalized kernel models

, 2005
Nonlinear system identification is considered using a generalized kernel regression model. Unlike the standard kernel model, which employs a fixed common variance for all the kernel regressors, each kernel regressor in the generalized kernel model has an
Wang, X. X., Harris, C. J., Wang, X.X., Hong, X., Harris, C.J., Chen, S.   +5 more
core   +1 more source

Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach

Applied Sciences
Most 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, Jonathan Omega Escobedo-Alva, Raymundo Peña-García, Ricardo Tapia-Herrera, Jesús Alberto Meda-Campaña   +4 more
doaj   +1 more source

System identification using neuro fuzzy approach for IoT application

Measurement: Sensors, 2022
The Internet of Things (IoT) has become a popular application in recent years. However, it is the wireless communication mode. In such a scenario, the user would have to send information either nonlinear or dynamic data type in the form of a signal or an
Rakesh Kumar Pattanaik, Srikanta Kumar Mohapatra, Mihir Narayan Mohanty, Binod Kumar Pattanayak   +3 more
doaj   +1 more source

Identification of an univariate function in a nonlinear dynamical model [PDF]

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
Addresses the problem of estimating, from measurement data corrupted by highly correlated noise, the shape of an unknown scaler and univariate function hidden in a known phenomenological model of the system. The method makes use of the Vapnik's support vector regression to find the structure of a parametrized black box model of the unknown function ...
Benoit David, Georges Bastin
openaire   +2 more sources

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source