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Showing 61 - 80 results of 4,216 for search '((spine OR (fine OR ((spike OR spie) OR sssspin))) OR ((spings OR (ling OR long)) OR spin))', query time: 0.22s Refine Results
  1. 61

    The role of tunneling noise in triple spin exchange qubits by Woo, Ying Zheng

    Published 2020
    “…In this project, the effects of 1/f tunneling noise in a triple spin exchange qubit operating at the sweet spot is being investigated. …”
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    Final Year Project (FYP)
  2. 62

    Spin-polarized antichiral exciton-polariton edge states by Bao, Ruiqi, Mandal, Subhaskar, Xu, Huawen, Xu, Xingran, Banerjee, Rimi, Liew, Timothy Chi Hin

    Published 2023
    “…The edge modes localized at the opposite edges have opposite spins (circular polarizations), which leads to co-propagating "+-" spin channels. …”
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    Journal Article
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    Quenching the Haldane gap in spin-1 Heisenberg antiferromagnets by Wierschem, Keola, Sengupta, Pinaki

    Published 2014
    “…We consider a quasi-one-dimensional system of spin-1 Heisenberg antiferromagnetic chains in two-dimensional and three-dimensional hypercubic lattices with interchain coupling J and uniaxial single-ion anisotropy D. …”
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    Journal Article
  5. 65

    Triadic interaction in the background of a pairwise spin-glass by Bagherikalhor, M., Askari, B., Jafari, G. R.

    Published 2024
    “…Developing an equilibrium solution for a pairwise spin-glass with a quenched random infinite range shows a continuous phase transition. …”
    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
  9. 69

    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)
  10. 70
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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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    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)