Showing 21 - 40 results of 3,487 for search '((spinsae OR spike) OR ((linn OR (pina OR ping)) OR ((ying OR yang) OR peng)))', query time: 0.23s Refine Results
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    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)
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    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
  4. 24

    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
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    Citra Wanita yang Memancarkan Nilai Murni dalam Novel Popular yang Diadaptasi daripada Novel Bersiri (S/O: 13234) by Ismail, Nor Hasimah, Awang Deng, Phat, Md Ali, Rohaya

    “…Kajian ini ialah melihat Citra Wanita Yang Memancarkan Nilai Murni Dalam Novel Popular Yang Diadaptasi Daripada Novel Bersiri. …”
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    Monograph
  6. 26

    Dok3 restrains neutrophil production of calprotectin during TLR4 sensing of SARS-CoV-2 spike protein by Loh, Jia Tong, Teo, Joey Kay Hui, Lam, Kong-Peng

    Published 2023
    “…In this study, we showed that Dok3 adaptor restrains calprotectin production by neutrophils in response to SARS-CoV-2 spike (S) protein engagement of TLR4. Dok3 recruits SHP-2 to mediate the de-phosphorylation of MyD88 at Y257, thereby attenuating downstream JAK2-STAT3 signaling and calprotectin production. …”
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    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)
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    Supersymmetric Yang-Mills, spherical branes, and precision holography by Bobev, N, Bomans, P, Gautason, FF, Minahan, JA, Nedelin, A

    Published 2020
    “…Using supersymmetric localization we compute the free energy and BPS Wilson loop vacuum expectation values for planar maximally supersymmetric Yang-Mills theory on Sd in the strong coupling limit for 2 ≤ d < 6. …”
    Journal article
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    Supersymmetric Yang-Mills, spherical branes, and precision holography by Bobev, N, Bomans, P, Gautason, FF, Minahan, JA, Nedelin, A

    Published 2019
    “…Using supersymmetric localization we compute the free energy and BPS Wilson loop vacuum expectation values for planar maximally supersymmetric Yang-Mills theory on Sd in the strong coupling limit for 2≤d<6. …”
    Internet publication
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    HIDDEN POTENTIAL : Seni Mencapai Kejayaan yang Luar Biasa / by Grant, Adam, author 615965, Muhammad Ezam Affan Mohd Asri, editor 655407, Rafiza Ab. Rahman, translator 620929

    Published 2024
    “…“Buku hebat ini akan menghancurkan andaian anda mengenai perkara yang diperlukan bagi menambah baik diri dan berjaya. …”
    text
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    UMPSA staff and students inspired by screening of ‘Mereka Yang Tertewas’ by Jamilah Bebe, Mohamad

    Published 2024
    “…KUANTAN, 13 November 2024 – A group of staff and students from Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) had the privilege of attending a special screening of the film Mereka Yang Tertewas.…”
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    Newspaper
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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