Showing 21 - 40 results of 3,389 for search '((spina OR (like OR (spike OR sspinggge))) OR ((pina OR (aina OR bina)) OR pin))', query time: 0.23s Refine Results
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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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    Current state-of-the-art of non-reverse osmosis-like forward osmosis technology by Chang, Zhen Hong, Sum, Jing Yao, Lau, Woei Jye, Ang, Wei Lun, Teow, Yeit Haan, Ooi, Boon Seng, Yeap, Swee Pin

    Published 2024
    “…Membrane technologists have therefore diversified their focus into non-RO-like FO technologies, particularly membranes resembling nanofiltration (NF)-like FO and ultrafiltration (UF)-like FO selective layers. …”
    Article
  6. 26

    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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    Butterfly-like micro air vehicle by Yang, Xiaobin

    Published 2018
    “…Little attention received for butterfly-like micro air vehicle(MAV). In this report, the objective of the project is to develop a power forward flight butterfly-like micro air vehicle with a tail to control the pitch angle. …”
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    Final Year Project (FYP)
  10. 30

    Regulation and function of innate-like T cells by Hagel, JP

    Published 2021
    “…It is expressed by NK- and T-cell subsets, particularly by innate-like T cells such as MAIT and γδT cells. CD161-expressing T-cell subsets share a transcriptional and functional phenotype, including the ability to be activated by cytokines in a T-cell receptor-independent manner, similar to NK cells. …”
    Thesis
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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
    “…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
  12. 32

    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
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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
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    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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    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
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    CSS-like constructions of asymmetric quantum codes by Ezerman, Martianus Frederic, Jitman, Somphong, Ling, San, Pasechnik, Dmitrii V.

    Published 2019
    “…After establishing some theoretical foundations, best-performing CSS-like AQCs are constructed. Combining some constructions of nested pairs of classical codes and linear programming, many optimal and good pure q-ary CSS-like codes for q ∈ {2,3,4,5,7,8,9} up to reasonable lengths are found. …”
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    Journal Article