Showing 21 - 40 results of 1,893 for search '((((pinnau OR spinnae) OR pingau) OR spike) OR ((pins OR (pina OR pin)) OR link))', query time: 0.20s Refine Results
  1. 21

    Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

    Published 2022
    “…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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    Journal Article
  2. 22

    Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

    Published 2024
    “…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”
    Journal article
  3. 23

    Missing links in The China Model by Li, Chenyang

    Published 2020
    Subjects:
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    Journal Article
  4. 24

    On the link upgrade problem for networks by Niu, Zhuo.

    Published 2008
    “…In this thesis, we study the link upgrade problem and examine some existing heuristic algorithms that have been proposed for this problem, implements and evaluate the performance of these algorithms. …”
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    Thesis
  5. 25

    Unit-linked policies in Singapore by Ong, Yee Chen, Poh, Chee Chung

    Published 2014
    “…In recent years, unit-linked products have gained popularity in the life industry. …”
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    Final Year Project (FYP)
  6. 26

    FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

    Published 2021
    “…The spiking convolutional neural network (SCNN) is a hybrid model of both the spiking neural network (SNN) and convolutional neural network (CNN). …”
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    Final Year Project (FYP)
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    Link-state update in wavelength-routed networks by Shu, Shen

    Published 2008
    “…Link-state update is a critical component of the routing protocol in wavelength-routed networks (WRNs). …”
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    Thesis
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    Crystalline boron-linked tetraaminoethylene radical cations by Su, Yuanting, Li, Yongxin, Ganguly, Rakesh, Kinjo, Rei

    Published 2018
    “…Single-electron oxidation of neutral boryl-linked tetraaminoethylene derivatives 4 led to the formation of radical cations 4˙+, which have been isolated and fully characterized. …”
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    Journal Article
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    Strategies for translating idioms in The Murder on the Links into Arabic by Obaid H., Al Harbi Emad

    Published 2022
    “…This study focuses on the strategies of translating idioms in Christie's novel ‘The Murder on the Links’ into Arabic. Three objectives are pursued through this study. …”
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    Thesis
  16. 36

    Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

    Published 2014
    “…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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    Conference Paper
  17. 37

    Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

    Published 2014
    “…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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    Final Year Project (FYP)
  18. 38
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    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

    Published 2017
    “…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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    Monograph
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