Articles with "delayed recurrent" as a keyword



Fractional delay segments method on time-delayed recurrent neural networks with impulsive and stochastic effects: An exponential stability approach

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.10.003

Abstract: Abstract This paper concerns with the problem of exponential stability analysis of time-delayed recurrent neural networks with impulsive and stochastic effects under fractional segments or intervals in delays. The delays in discrete term are assumed… read more here.

Keywords: neural networks; time delayed; delayed recurrent; exponential stability ... See more keywords
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The effectiveness of lumbar drainage in the management of the delayed or recurrent cerebrospinal fluid leaks: a retrospective study of case series in a single center.

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Published in 2019 at "World neurosurgery"

DOI: 10.1016/j.wneu.2019.06.054

Abstract: OBJECTIVE Little is known about the effectiveness of lumbar drainage(LD) in the treatment of delayed or recurrent cerebrospinal fluid(CSF) leaks. We report our institutional experience and the effectiveness of LD in the management of the… read more here.

Keywords: lumbar drainage; csf leaks; effectiveness lumbar; treatment ... See more keywords
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Pseudotumor and delayed recurrent dislocation after total hip arthroplasty with a modular femoral neck: A case report.

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Published in 2022 at "Medicine"

DOI: 10.1097/md.0000000000029056

Abstract: RATIONALE Pseudotumor formation after hip arthroplasty is a rare complication that can occur not only at the head-neck junction but also at the modular neck-stem junction. Dislocation is a challenging and common complication of primary… read more here.

Keywords: neck; delayed recurrent; hip; recurrent dislocation ... See more keywords

Dissipativity Analysis of Delayed Recurrent Neural Networks via a Flexible Negative-Definiteness Determination Method

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Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2022.3208421

Abstract: This brief is concerned with the issue of dissipativity analysis for delayed recurrent neural networks. First, a flexible negative-definiteness determination method is presented, which brings more flexibility and can further reduce the conservatism of some… read more here.

Keywords: neural networks; flexible negative; delayed recurrent; recurrent neural ... See more keywords