Showing 21 - 40 results of 412 for search '(((spinnae OR spineae) OR pingge) OR ((((spine OR spike) OR (spink OR pick)) OR sspina) OR pin))', query time: 0.23s Refine Results
  1. 21

    Designing a spiking neural network system for object recognition by Thong, Jing Yuan

    Published 2022
    “…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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    Final Year Project (FYP)
  2. 22

    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
  3. 23

    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
  4. 24

    Somatosensory and clinical profiles of patients with spine-related and clinical framework-based neck–arm pain by Kapitza, C, Ballenberger, N, Luedtke, K, Schmid, AB, Tampin, B

    Published 2025
    “…<p>Spine-related neck–arm pain is heterogeneous and may present on a spectrum between nociceptive and neuropathic pain. …”
    Journal article
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    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)
  7. 27

    Filamentous oligomer structure reconstruction and a new filament picking method for Cryo-EM micrographs by Xu, Chenrui

    Published 2022
    “…Recognizing the bottleneck step of this process, the filament picking, we developed a rapid and easy-to-use software. …”
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    Thesis-Doctor of Philosophy
  8. 28
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    Filmwise condensation of steam on sinusoidal pin fin arrays : effects of fin height and fin pitch by Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

    Published 2020
    “…An experimental investigation on the use of sinusoidal pin fins to enhance filmwise condensation of steam on vertical plates was carried out. …”
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    Journal Article
  10. 30

    Robust service restoration of distribution systems towards coordinated parallel network reconstruction and cold load pick-up by Xie, Dunjian, Xu, Yan, Zhang, Cuo

    Published 2023
    “…This paper proposed a robust service restoration method coordinating parallel network reconstruction and load restoration decisions considering cold load pick-up (CLPU) effects. Firstly, a novel parallel network reconstruction model is proposed, which can simultaneously guarantee the radiality of each subsystem and the feasibility of the restoration sequence. …”
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    Journal Article
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    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
  13. 33

    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)
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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
  16. 36

    Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites by Jin, Tianli, Gan, Weiliang, Tan, Funan, Sernicola, Nicolo Roberto, Lew, Wen Siang, Piramanayagam, S. N.

    Published 2020
    “…The control of the domain wall motion with the synthetic pinning sites is demonstrated to be a reliable technique for neuromorphic applications.…”
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    Journal Article
  17. 37

    The natively disordered loop of Bcl-2 undergoes phosphorylation-dependent conformational change and interacts with Pin1 by Bharatham, Nagakumar, Chia, Joel, Mu, Yuguang, Baek, Kwanghee, Yoon, Ho Sup, Kang, CongBao

    Published 2013
    “…Finally, we show that the phosphorylated peptides of the Bcl-2 loop can bind Pin1, further substantiating the phosphorylation-mediated conformation change of Bcl-2.…”
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    Journal Article
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