Results 91 to 100 of about 6,865,105 (283)
Exponential Stability and Numerical Methods of Stochastic Recurrent Neural Networks with Delays
Abstract and Applied Analysis, 2013 Exponential stability in mean square of stochastic delay recurrent neural networks is investigated in detail. By using Itô’s formula and inequality techniques, the sufficient conditions to guarantee the exponential stability in mean square of an ...
Shifang Kuang +3 more
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Mean-square stability of a class of stochastic integral equations [PDF]
Bulletin of the Australian Mathematical Society, 1972 The object of this paper is to investigate under very general conditions the existence and mean-square stability of a random solution of a class of stochastic integral equations in the formfor t ≥ 0, where a random solution is a second order stochastic process {x(t; w) t ≥ 0} which satisfies the equation almost certainly.
openaire +2 more sources
Group mean (± standard deviation) Pearson’s correlation coefficient (R) and root-mean-square-difference (RMSD, in degrees) of the m_IMU and r_IMU calculated knee kinematics compared to the OMC.
David G. Lloyd (292196) +8 more
core +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Mean-square exponential stabilization of mixed-autonomy traffic PDE system
AutomaticaControl of mixed-autonomy traffic where Human-driven Vehicles (HVs) and Autonomous Vehicles (AVs) coexist on the road has gained increasing attention over the recent decades. This paper addresses the boundary stabilization problem for mixed traffic on freeways.
Yihuai Zhang +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
The Stochastic Θ-Method for Nonlinear Stochastic Volterra Integro-Differential Equations
Abstract and Applied Analysis, 2014 The stochastic Θ-method is extended to solve nonlinear stochastic Volterra integro-differential equations. The mean-square convergence and asymptotic stability of the method are studied. First, we prove that the stochastic Θ-method is convergent of order
Peng Hu, Chengming Huang
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Stability Analysis of Cohen–Grossberg Neural Networks with Random Impulses
Mathematics, 2018 The Cohen and Grossberg neural networks model is studied in the case when the neurons are subject to a certain impulsive state displacement at random exponentially-distributed moments.
Ravi Agarwal +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk +10 more
wiley +1 more source