Results 61 to 70 of about 144,621 (325)
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Dianxin kexue, 2014 To deal with the increasing of computer clusters which the increasing needs of cloud computing brings and guarantee stability and reliability of the service, a cloud computing monitoring system based on OpenStack structure to satisfy the needs of cloud ...
Lei Li +3 more
doaj +2 more sources
Sensors, 2017 This paper aims to develop a low-cost, high-performance and high-reliability computing system to process large-scale data using common data mining algorithms in the Internet of Things (IoT) computing environment.
Yuling Fang +4 more
doaj +1 more source
On the Safe Deployment of Matrix Multiplication in Massively Parallel Safety-Related Systems
Applied Sciences, 2022 Deep learning technology has enabled the development of increasingly complex safety-related autonomous systems using high-performance computers, such as graphics processing units (GPUs), which provide the required high computing performance for the ...
Javier Fernández +5 more
doaj +1 more source
A Parallel Mesh-Adaptive Framework for Hyperbolic Conservation Laws
, 2006 We report on the development of a computational framework for the parallel, mesh-adaptive solution of systems of hyperbolic conservation laws like the time-dependent Euler equations in compressible gas dynamics or Magneto-Hydrodynamics (MHD) and similar ...
Berger +23 more
core +1 more source
Variably Protease‐Sensitive Prionopathy: Two New Cases With Motor Neuron‐Dementia Syndrome
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We describe two patients with variably protease‐sensitive prionopathy (VPSPr) who developed progressive upper motor neuron symptoms, insomnia, behavioral and cognitive decline, compatible with primary lateral sclerosis associated with frontotemporal dementia (FTD).
María Elena Erro +10 more
wiley +1 more source
SingleCaffe: An Efficient Framework for Deep Learning on a Single Node
IEEE Access, 2018 Deep learning (DL) is currently the most promising approach in complicated applications such as computer vision and natural language processing. It thrives with large neural networks and large datasets.
Chenxu Wang +5 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
Exploring Various Levels of Parallelism in High-Performance CRC Algorithms
IEEE Access, 2019 Modern processors have increased the capabilities of instruction-level parallelism (ILP) and thread-level parallelism (TLP). These resources, however, typically exhibit poor utilization on conventional cyclic redundancy check (CRC) algorithms.
Mucong Chi, Dazhong He, Jun Liu
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.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