Showing 21 - 40 results of 3,334 for search '((readable OR spike) OR ((spingn OR ssping) OR ((pin OR ping) OR (long OR owing))))', query time: 0.21s Refine Results
  1. 21

    Decarbonizing Long-haul Trucking by Jones, Robert

    Published 2024
    “…This contrast raises a crucial question: how can road freight emissions be substantially reduced while at the same time facing a growing transportation demand? Especially for long-haul class 8 trucks, this question is difficult to answer. …”
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    Thesis
  2. 22

    Value in very long lives by Greene, Preston

    Published 2020
    “…I conclude that very long lives are, in principle, desirable, and that death does not play an essential role in our valuing attitudes.…”
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    Journal Article
  3. 23

    Long-term re-identification by Eng, Yao Hui

    Published 2023
    “…However, most of these models focus on short-term Re-ID instead of long-term Re-ID. In recent years, the focus of the community is shifting towards Long-Term Re-ID. …”
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    Final Year Project (FYP)
  4. 24

    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
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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
  7. 27

    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)
  8. 28
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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
  10. 30
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    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
  12. 32

    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
  13. 33

    E-portal for life long learning by Chew, Adam Beng Aik

    Published 2015
    “…Life Long Learning is an online portal meant to bridge the informational gap between the everyday individuals seeking to pick up a new skill or hobby, and the course providers ranging from well-established corporations and government agencies to the small businesses hidden in our heartlands. …”
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    Final Year Project (FYP)
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    EEG data handling using AWS cloud computing for automatic spike detection in epilepsy patients by Rajput Kalpana Bharatsingh

    Published 2017
    “…In this work, we explore the feasibility of AWS-cloud based approach for handling large EEG data for automatic spike detection in epilepsy patients. The aim is to design a system which will allow neurologists to upload and download EEG data from any region for analysis purpose; in the future the data will be analysed by machine learning algorithms. …”
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    Thesis