Results 171 to 180 of about 124,788 (331)
Tustin neural networks: a class of recurrent nets for adaptive MPC of\n mechanical systems [PDF]
S. Pozzoli +2 more
openalex +1 more source
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett +8 more
wiley +1 more source
TBK1‐Associated Primary Lateral Sclerosis Followed by Right Temporal Variant Frontotemporal Dementia
ABSTRACT We report a 58‐year‐old woman with a novel splice‐site variant in the TANK‐binding kinase 1 (TBK1:c.993–2A>C p.Ala332TyrfsTer39) who sequentially developed primary lateral sclerosis (PLS) followed by right temporal variant frontotemporal dementia (rtvFTD). Neuroimaging demonstrated right anterior temporal atrophy before cognitive symptoms, and
Tomoyasu Matsubara +18 more
wiley +1 more source
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Neutrosophy for physiological data compression: in particular by neural nets using deep learning
Philippe Schweizer
openalex +2 more sources
Radial maze performance in inbred mice: Evidence for strain-dependent neural nets subserving spatial learning abilities [PDF]
Clelia Rossi‐Arnaud +1 more
openalex +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

