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  1. 1

    Automated spike detection using cascade of simple classifiers by Guo, Jingyao

    Published 2016
    “…The diagnosis of epilepsy heavily depends on the detection of interictal epileptiform spikes in EEG recordings of patients. However, the traditional visual inspection is time-consuming and subjective. …”
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    Thesis
  2. 2

    FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

    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)
  3. 3

    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)
  4. 4

    Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

    Published 2016
    “…Real time spike detection is the first critical step to develop spike-sorting for integrated brain circuits interface applications. …”
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    Conference Paper
  5. 5

    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
  6. 6

    Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition by Sanchez-Garcia, Melani, Chauhan, Tushar, Cottereau, Benoit R., Beyeler, Michael

    Published 2023
    “…Mimicking neuronal response properties in early visual cortex, images were preprocessed with three different spatial frequency (SF) channels, before they were fed to a layer of spiking neurons whose synaptic weights were updated using spike-timing-dependent-plasticity. …”
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    Article
  7. 7
  8. 8

    Disturbance detection in the MV and the LV distribution networks using time-domain method by Ukil, Abhisek

    Published 2014
    “…These are typically reflected in the time-domain as spikes in the square wave, without requiring any frequency analysis. …”
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    Conference Paper
  9. 9

    Modelling Malaysia air quality data using Bayesian Structural Time Series models by Aeshah Mohammed, Mohd Aftar Abu Bakar, Mahayaudin M. Mansor, Noratiqah Mohd Ariff

    Published 2024
    “…The primary objective of this study was to forecast air quality and assess the effectiveness of the Bayesian structural time series analysis on air quality time-series data. …”
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    Article
  10. 10

    Development and validation of multiplex real-time PCR for simultaneous detection of six bacterial pathogens causing lower respiratory tract infections and antimicrobial resistance... by Dung, TTN, Phat, VV, Vinh, C, Lan, NPH, Phuong, NLN, Ngan, LTQ, Thwaites, G, Thwaites, L, Rabaa, M, Nguyen, ATK, Duy, PT

    Published 2024
    “…The reproducibility, linearity, limit of detection (LOD) of real-time PCR assays for pathogen detection were evaluated using DNA control mixes and spiked tracheal aspirate. …”
    Journal article
  11. 11

    Design of a fast response CMOS low dropout regulator for system-on-chip applications by Wang, Haoran

    Published 2021
    “…This regulator, which is designed with multiple feedbacks, is based on TSMC_40nm CMOS fabrication technology with 1V supply voltage and 0.8V output voltage. With 1ns rise/fall time, the settling time is obtained as 33.14ns. The overshoot and undershoot voltage spikes are 22.92mV and 38.70mV respectively at the 50mA step load current under a 100pF capacitive load. …”
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    Thesis-Master by Coursework
  12. 12

    Hodgkin–huxley artificial synaptic membrane based on protonic/electronic hybrid neuromorphic transistors by Fu, Yang Ming, Wan, Chang Jin, Zhu, Li Qiang, Xiao, Hui, Chen, Xiao Dong, Wan, Qing

    Published 2020
    “…Here, a proof-of-principle Hodgkin–Huxley artificial synaptic membrane is proposed for the first time based on inorganic proton conductor. Phosphosilicate glass-based proton conductor electrolyte demonstrates unique short-term volatile charging behaviors, indicating potential short-term synaptic plasticity applications. …”
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    Journal Article
  13. 13

    Synaptic plasticity in VLSI : a floating-gate approach by Gopalakrishnan, Roshan

    Published 2017
    “…Recently a learning rule known as spike timing dependent plasticity (STDP) that modifies weights based on the timing of presynaptic and postsynaptic spikes become very popular. …”
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    Thesis
  14. 14

    Exploring dependence structures among European electricity markets: static and dynamic copula-GARCH and dynamic state-space approaches by Ly, Sel, Sriboonchitta, Songsak, Tang, Jiechen, Wong, Wing-Keung

    Published 2023
    “…Further, the results of both the dynamic copulas and dynamic state-space models show that most pairs of the European electricity markets co-move symmetrically and have a time-varying dependence, but do not appear to grow over time. …”
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    Journal Article
  15. 15

    A study on epidemic modelling using deterministic and stochastic SIR compartmental models by Lim, Lionel Rui Qi

    Published 2023
    “…Epidemic modelling is imperative as it provides predictions that aid timely interventions during a disease outbreak. Most works in the field adopt the SIR compartmental model as a foundation, before employing various deterministic and stochastic strategies to simulate the dynamics of an epidemic. …”
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    Final Year Project (FYP)
  16. 16

    Culture of human pluripotent stem cells and neural networks in 3D using an optogenetic approach and a hydrogel model by Lee, S

    Published 2016
    “…By combining multi-approaches, we report for the first time on the generation of an in vitro hiPSC-derived neural network model in 3D using functionalised alginate hydrogel and involving optogenetic targeting. …”
    Thesis
  17. 17

    Energy storage management for renewable energy systems by Feng, Xue

    Published 2016
    “…The real time capacity fade model is incorporated with the electrical circuit model to give a more thorough description of the battery. …”
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    Thesis
  18. 18

    Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Glob... by Naghavi, M, Ong, KL, Aali, A, Almidani, O, Bandyopadhyay, S, Basnyat, B, Maude, R, Dolecek, C, Lacey, BWH

    Published 2024
    “…These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. …”
    Journal article
  19. 19

    Investigating the potential of axonopus compressus to phytoremediate molybdenum by Eng, Zhi Xian

    Published 2014
    “…Mo accumulation in dry tissue of AC peaked in Week 1 and gradually decreased with time. Control AC and pots spiked with more than 20 ppm exhibited stunted growth two weeks after treatment. …”
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    Final Year Project (FYP)
  20. 20

    Analysis and reduction of mismatch in silicon neurons by Shuo, Sun, Basu, Arindam

    Published 2013
    “…The method presented allows the corrected neurons to compute both rate codes and spike time codes in a mismatch resilient fashion…”
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    Conference Paper