Showing 41 - 60 results of 4,057 for search '(((pink OR pina) OR ((ping OR (spie OR spike)) OR (pinged OR kinds))) OR ((ying OR min) OR line))', query time: 0.25s Refine Results
  1. 41

    THE 17 ESSENTIAL QUALITIES OF A TEAM PLAYER : Becoming the Kind of Person Every Team Wants / by Maxwell, John C., 1947-, author 272745

    Published 2002
    “…If you learn the 17 essential qualities of a team player, you can become the kind of person every team wants. If everyone on your team does it, there will be no holding you back."…”
    text
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    What are the intensities and line-shapes of the twenty four polarization terms in coherent anti-Stokes Raman spectroscopy? by Niu, Kai, Lee, Soo-Ying

    Published 2015
    “…Coherent anti-Stokes Raman spectroscopy (CARS) is conventionally described by just one diagram/term where the three electric field interactions act on the ket side in a Feynman dual time-line diagram in a specific time order of pump, Stokes and probe pulses. …”
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    Journal Article
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    Automatic electric reel line winder by Yong, Chuan Kian

    Published 2021
    “…The project also involved the setting up of an automatic electric reel line winder that is use for winding a line on a spool or a reel with a rotatable handle. …”
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    Final Year Project (FYP)
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    Automatic line matching across views by Schmid, C, Zisserman, A

    Published 2002
    “…The paper presents a new method for matching individual line segments between images. The method uses both grey-level information and the multiple view geometric relations between the images. …”
    Conference item
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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
  11. 51

    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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    Laplacian lines for real-time shape illustration by Zhao, Yuan

    Published 2015
    “…In this project, a desktop application is implemented to draw two kind feature lines: silhouette and Laplacian lines of a given model through the stated algorithm. …”
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    Final Year Project (FYP)
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    Tunable surface-plasmon-polariton filter constructed by corrugated metallic line and high permittivity material by Luo, Jiang, He, Jin, Apriyana, Alit, Feng, Guangyin, Huang, Qijun, Zhang, Yue Ping

    Published 2018
    “…The tuning is done by embedding a high permittivity BST dielectric block into the gap of SPP transmission line (T-line). An obvious transmission dip at the certain frequency is observed due to Fabry-Pérot interference. …”
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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