Results 31 to 40 of about 7,478 (267)

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Convolutional Neural Network in Intelligent Fault Diagnosis Toward Rotatory Machinery

open access: yesIEEE Access, 2020
Rotating machinery is of vital importance in the field of engineering, including aviation and navigation. Its failure will lead to severe loss to personnel safety and the stability of the equipment system.
Shengnan Tang, Shouqi Yuan, Yong Zhu
doaj   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng   +4 more
wiley   +1 more source

Fault Diagnosis of Marine Diesel Engines under Partial Set and Cross Working Conditions Based on Transfer Learning

open access: yesJournal of Marine Science and Engineering, 2023
The development of intelligent ships has an urgent demand for intelligent fault diagnosis technology. The working conditions and fault modes of high-power marine diesel engines gradually tend to be diversified and complicated, and the problems of ...
Yu Guo, Jundong Zhang
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

Intelligent Diagnosis and Fault Repair Model for Signaling Systems Based on Multi-source Semantic Information

open access: yesChengshi guidao jiaotong yanjiu
ObjectiveThe operation and maintenance of existing signaling equipment faces problems such as low maintenance efficiency, reliance on manual experience, complex fault modes across lines and equipment, and difficulties in deep integration of multi-source ...
Yulong TAO   +3 more
doaj   +1 more source

Intelligent Fault Diagnosis of Steer-By-Wire Automobile

open access: yesJournal of Computers, 2012
Abstract—This paper presents an intelligent fault diagnostic approach for a steer-by-wire (SBW) system. A rough set model is utilized to reduce the redundant information. On the base of the reduction, the classifying rules can be extracted. A radical basis function (RBF) neural network optimized by particle swarm optimization (PSO) algorithm is ...
Fangyuan Wu, Feng Kong, Jiangyun Yao
openaire   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi   +9 more
wiley   +1 more source

Fault Diagnosis Method of Intelligent Substation Protection System Based on Gradient Boosting Decision Tree

open access: yesApplied Sciences, 2022
In order to improve the efficiency of the devices’ fault diagnosis of the protection systems of intelligent substation, a fault diagnosis method based on a gradient boosting decision tree (GBDT) was proposed.
Wei Ding   +3 more
doaj   +1 more source

An Intelligent Fault Diagnosis System for Machine Tools

open access: yesInternational Journal of Automation and Smart Technology, 2014
An automatic intelligent system is developed to diagnose shaft fault types. Features related to shaft faults are extracted from vibration signals to effectively identify the corresponding fault condition. Feature extraction is accomplished using Fourier Transform, empirical mode decomposition (EMD) and multi-scale entropy (MSE). Through the EMD method,
Chia Wang, Wei-Yen Lin, Hong-Tsu Young
openaire   +1 more source

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