Showing 21 - 40 results of 6,412 for search '(((spine OR spike) OR (fine OR find)) OR (((spingn OR ping) OR (pina OR aina)) OR pin))', query time: 0.22s Refine Results
  1. 21

    Designing a spiking neural network system for object recognition by Thong, Jing Yuan

    Published 2022
    “…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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    Final Year Project (FYP)
  2. 22

    Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

    Published 2022
    “…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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    Journal Article
  3. 23

    Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

    Published 2024
    “…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”
    Journal article
  4. 24

    Somatosensory and clinical profiles of patients with spine-related and clinical framework-based neck–arm pain by Kapitza, C, Ballenberger, N, Luedtke, K, Schmid, AB, Tampin, B

    Published 2025
    “…<p>Spine-related neck–arm pain is heterogeneous and may present on a spectrum between nociceptive and neuropathic pain. …”
    Journal article
  5. 25

    Indonesia's new capital: can Jokowi find the money? by Borsuk, Richard

    Published 2022
    “…President Joko Widodo has pushed ahead to launch his most ambitious project – building a new capital from scratch in remote Kalimantan, Borneo. Can Indonesia find the estimated US$32.5 billion needed for building a smart and green city in the jungle?…”
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    Commentary
  6. 26

    The fine line between jianli guanxi and la guanxi. by Loh, Wan Fong.

    Published 2011
    “…Results showed that the way males build guanxi was more congruous to la guanxi and the way females build guanxi was more congruous to jianli guanxi. Based on the findings, I conclude that the amount of effort invested and value placed the relationship differentiates jianli guanxi from la guanxi.…”
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    Final Year Project (FYP)
  7. 27

    Investigating Interventions in Fine-grained Contexts for Habit Formation by Khan, Mina

    Published 2024
    “…Habits are automatic responses to specific contextual cues, and can help sustain behavior change. Fine-grained specific contexts are commonly used in habit formation, but interventions in automatically-detected fine-grained contexts have rarely been explored for habit formation. …”
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    Thesis
  8. 28
  9. 29

    Dopamine Nation : Finding Balance in the Age of Indulgence / by Lembke, Anna, Dr., author 655980, Penguin Publishing Group (Online service) 655981

    Published 2021
    “…Most important, it’s about how to find the delicate balance between the two, and why now more than ever finding balance is essential. …”
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    software, multimedia
  10. 30

    Multi-agent path finding (part B) by Cao, Lifeng

    Published 2020
    “…Multi-Agent Pathfinding (MAPF) is the problem of finding paths efficient collision-free paths for sets of agents with a designated start and end goal. …”
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    Final Year Project (FYP)
  11. 31

    Finding similar motion across video sequences by Sim, Si Jia.

    Published 2010
    “…Security threats had always been an issue of concern in global countries and thus, security organizations had been trying to find ways to detect possible threats by the means of CCTVs to take a real time image of the surroundings of the public places. …”
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    Final Year Project (FYP)
  12. 32

    Design and development of a direction finding system by Li, Yuejun

    Published 2011
    “…Direction Finding System (DFS) refers to an antenna system for finding the direction of a radio source using any Direction of Arrival (DOA) estimation algorithms. …”
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    Final Year Project (FYP)
  13. 33

    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)
  14. 34

    Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

    Published 2024
    “…We specifically investigate training data properties related to positional bias in fine-tuned language model performance on correctly answering MCQs. …”
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    Thesis
  15. 35

    Fabrication of fine features using digital light processing stereolithography by Chew, Ze Yong

    Published 2015
    “…Thus, this project was developed with the objectives to: 1. reduce production cost of Stereolithography by optimizing low end commercial Stereolithography system – ASIGA Freeform Pico 39 Plus such that it is able to print fine features 2. explore effective and convenient post processing step such that it is able to reduce material wastage and at the same time further shorten production lead time The parameter study conducted revealed that every layer thickness has a specific optimal exposure time such that the layers could be printed just fine, with minimal compromise of the internal features’ accuracy. …”
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    Final Year Project (FYP)
  16. 36

    Investigating fine-tuning of large language models for text summarisation by Khaliq, Usama, Patel, Preeti

    Published 2024
    “…The limited performance increase from the fine-tuned models was likely due to small datasets and medium-sized LLMs. …”
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    Conference or Workshop Item
  17. 37

    Visual analytics for fine-grained text classification models and datasets by Battogtokh, M, Xing, Y, Davidescu, C, Abdul-Rahman, A, Luck, M, Borgo, R

    Published 2024
    “…In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes that are more difficult to differentiate from one another. …”
    Journal article
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