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5G : The 5th Generation Mobile Networks /
Published 2024Subjects: “…5G mobile communication systems…”
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software, multimedia -
22
FPGA implementation of spiking convolutional neural networks for voice keyword recognition
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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Vehicular localization using 5G V2X
Published 2022“…This project will discuss on different vehicle positioning methods related to the 5G V2X. Besides, a simulation solution using mmWave signals to complete vehicle positioning will be given. …”
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Final Year Project (FYP) -
25
Electron-donating five-membered heterocyclic modulated electronic states boosting visible-light-driven H2O2 production
Published 2024Subjects: Get full text
Journal Article -
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A study on the career choices of tax professionals in the big five CPA firms in Singapore.
Published 2008“…This project is a study on the career choices of tax professionals in the Big Five CPA firms in Singapore. The project explores the reasons why they choose to join, stay or leave the tax profession.…”
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Final Year Project (FYP) -
27
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Bio-inspired categorization using event-driven feature extraction and spike-based learning
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 -
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Morphological learning in spiking neurons: a new hardware efficient maching learning method
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) -
30
Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits
Published 2016Subjects: “…Spike…”
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Conference Paper -
31
Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893)
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 -
32
New Zealand : outlier of the five eyes?
Published 2021“…With the US-China strategic competition intensifying, New Zealand navigates these tricky geopolitical waters and pursues it’s ‘independent’ foreign policy even at the risk of offending its Five Eyes partners.…”
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Commentary -
33
Gas permeation through V2O5 nanoribbons-based membrane
Published 2024“…V2O5 membranes, prepared with the highest V2O5 quantity, exceeded the upper bound from 2008 for He/N2 and 2019 (the most recent) for He/CO2, demonstrating the interesting potential of V2O5 2D materials for gas separation.…”
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Journal Article -
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Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks
Published 2024“…In Beyond the Fifth Generation (B5G) heterogeneous edge networks, numerous users are multiplexed on a channel or served on the same frequency resource block, in which case the transmitter applies coding and the receiver uses interference cancellation. …”
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Journal Article -
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Video editing in HTML5
Published 2011“…This video editor makes use of HTML5’s Canvas tag and draws the video image to the screen while executing video editing effects on the frames.…”
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Final Year Project (FYP) -
38
5 Dollars for a passport
Published 2015“…This report aims to reflect the entire process, from conceptualisation to production and postproduction of the Director/Producer of 5 Dollars for a Passport by myself, Ye Ruicheng (Jason). …”
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Final Year Project (FYP) -
39
EEG data handling using AWS cloud computing for automatic spike detection in epilepsy patients
Published 2017“…Electrophysiological data, such as EEG can be called ‘big data’ as they might have more than 50 multi-channel signals from each patient, generating more than 5 GB data. An adequate approach to store and analyse signal data is required to meet the enormous volume of EEG data. …”
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Thesis -
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