Showing 41 - 60 results of 1,803 for search '((pinnae OR pinge) OR (((spike OR (spans OR scans)) OR spinna) OR pin))', query time: 0.22s Refine Results
  1. 41

    Tissue imaging using nonlinear laser scanning microscope by Lam, Edward Jin Cheong

    Published 2018
    “…The project also looks at the various challenges faced when using Confocal Laser Scanning Microscopy to image the 2-dimensional and 3-dimensional structures of the bovine retina.…”
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    Final Year Project (FYP)
  2. 42

    Scan implementation and toggle coverage estimation for voice subsystem by Mohan, Vivek

    Published 2019
    “…Scan Insertion is the first step in the DFT Scan flow, followed by pattern generation using ATPG to detect targeted faults. …”
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    Thesis
  3. 43

    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
  4. 44
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  6. 46

    Conformable ultrasound breast patch for deep tissue scanning and imaging by Du, Wenya, Zhang, Lin, Suh, Emma, Lin, Dabin, Marcus, Colin, Ozkan, Lara, Ahuja, Avani, Fernandez, Sara, Shuvo, Ikra Iftekhar, Sadat, David, Liu, Weiguo, Li, Fei, Chandrakasan, Anantha P., Ozmen, Tolga, Dagdeviren, Canan

    Published 2024
    “…A nature-inspired honeycomb-shaped patch combined with a phased array is guided by an easy-to-operate tracker that provides for large-area, deep scanning, and multiangle breast imaging capability. …”
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    Article
  7. 47
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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. 49

    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. 50
  11. 51

    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
  12. 52
  13. 53

    Enabling scanning moire phase shifting interferometry in image processing by Chin, Chee Hwa.

    Published 2008
    “…A method for on-the-fly 3-D surface profilometry using scanning moire phase shifting interferometry is proposed. …”
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    Thesis
  14. 54

    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
  15. 55

    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
  16. 56

    Knee joint measurement using CT scans for knee joint implant selection by Jing, Mei

    Published 2009
    “…Then surgeons will place several different sizes of implant on it in order to find out the best fit one. (1) The objective of this project is to develop an efficient way to find out the suitable size of implant using CT scans or photo taking, to measure anterior-posterior and media-lateral lengths of the knee joint. …”
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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