Showing 21 - 40 results of 4,135 for search '(spinaata OR (((pengae OR spike) OR ((ping OR ling) OR bing)) OR (pinn OR main)))', query time: 0.20s Refine Results
  1. 21

    Geminal Bimetallic Coordination of a Carbone to Main-Group and Transition Metals by Obi, Akachukwu D., Deng, Chun-Lin, Alexis, Andrew J., Dickie, Diane A., Gilliard, Robert J., Jr

    Published 2024
    “…The non-bonding carbone lone pair in geometrically-constrained antimony and bismuth carbodiphosphorane complexes readily complexed AuCl to afford rare examples of geminal bimetallic carbone coordination featuring a main-group metal.…”
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    Article
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    Preventing delayed diagnosis of cancer: clinicians’ views on main problems and solutions by Car, Lorainne Tudor, Papachristou, Nikolaos, Urch, Catherine, Majeed, Azeem, El–Khatib, Mona, Aylin, Paul, Atun, Rifat, Car, Josip, Vincent, Charles

    Published 2018
    “…In this study, we aimed to identify the main problems and solutions relating to delay cancer diagnosis according to cancer care clinicians. …”
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    Journal Article
  6. 26

    Parallel materialisation of datalog programs in centralised, main-memory RDF systems by Motik, B, Nenov, Y, Piro, R, Horrocks, I, Olteanu, D

    Published 2014
    “…We present a novel approach to parallel materialisation (i.e., fixpoint computation) of datalog programs in centralised, main-memory, multi-core RDF systems. Our approach comprises an algorithm that evenly distributes the workload to cores, and an RDF indexing data structure that supports efficient, 'mostly' lock-free parallel updates. …”
    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. 31

    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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    A high-performance main-memory query engine on emerging many-core processors by Cheng, Xuntao

    Published 2018
    “…A main-memory database stores its data in the main memory where processors can retrieve data at a much higher bandwidth compared with disk-based databases. …”
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    Thesis-Doctor of Philosophy
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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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    Coenesthesia or the immediate feeling of existence: Maine de Biran and the problem of the unconscious between physiology and philosophy by Aloisi, A

    Published 2024
    “…However, a good sixty years before Ribot, Maine de Biran had already employed the notion of “coenesthesia” to indicate the “immediate feeling of existence,” which he distinguished from the apperception of the self in relation to the body. …”
    Journal article