Showing 881 - 900 results of 1,211 for search '(((spine OR (spinodal OR spinoza)) OR (fine OR spie)) OR ((pinggn OR bina) OR pin))', query time: 0.17s Refine Results
  1. 881
  2. 882

    Life and dyeing : floral escapes by Teng, Yu Qing

    Published 2020
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    Final Year Project (FYP)
  3. 883
  4. 884

    A 9-bit, 1.08ps resolution two-step time-to-digital converter in 65 nm CMOS for time-mode ADC by Kong, Junjie, Henzler, Stephan, Schmitt-Landsiedel, Doris, Siek, Liter

    Published 2021
    “…The proposed TDC uses body-biasing in the fine TDC to obtain the resolution of the entire TDC, which is simulated to be 1.08 ps. …”
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    Conference Paper
  5. 885
  6. 886

    Hierarchical document representation for summarization by Tey, Rui Jie

    Published 2022
    “…HIWESTSUM is very light in weight with parameter size over 10 times smaller than current existing models that fine-tune BERT for summarization. Moreover, the proposed model is faster than SOTA models with shorter training and inference time. …”
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    Final Year Project (FYP)
  7. 887

    End of the line by Chia, Wei Ting

    Published 2022
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    Final Year Project (FYP)
  8. 888

    Soil-water characteristic curves of sands by evaporation method by Lee, Yong Wei

    Published 2023
    “…The comparison shows that low-cost resistive moisture sensors are more reliable than low-cost capacitive sensors. The SWCCs of fine and coarse sands determined from the evaporation method are comparable to the SWCCs determined from the Tempe cell method.…”
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    Final Year Project (FYP)
  9. 889

    Jubiland: rework happiness by Yu, Esther Kern Hui

    Published 2023
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    Final Year Project (FYP)
  10. 890

    Moonchild. by Chan, Yin Wan., Chong, Sara Shuzhen.

    Published 2009
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    Final Year Project (FYP)
  11. 891

    Fluorescence diffuse optical imaging for small animal study. by Lim, Shu Qiang.

    Published 2012
    “…After which, principal component analysis (PCA) to outline each organ’s distinctive time course, will be performed Reports on the DFMI technique included the working principles, apparatus used, along with fine-tuning of the design. These consist of refining the accuracy of the image capturing processes and optimizing the various operating conditions. …”
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    Final Year Project (FYP)
  12. 892
  13. 893

    One day at a time. by Ho, Qi Yi.

    Published 2013
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    Final Year Project (FYP)
  14. 894
  15. 895

    Paranoia by Yeo, Huang Hao

    Published 2016
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    Final Year Project (FYP)
  16. 896

    Custom privacy guards in Android by Rindhe Akash Dnyaneshwar

    Published 2017
    “…LogicDroid is a custom Android OS that provides reinforced system security and fine-grained user-defined resource access. The operating principle of LogicDroid is based on a runtime kernel monitor module that detects privilege escalation attacks using an attack detection algorithm specified and modified by the user using an application called Security Controller. …”
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    Final Year Project (FYP)
  17. 897
  18. 898

    Optimization of aerosol jet printed strain sensor design via computational simulation by Wong, Chee Khong

    Published 2017
    “…In addition, it is capable in achieving fine pitch and high resolution printing for nanomaterial. …”
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    Final Year Project (FYP)
  19. 899

    Preface : two dimensional (2D) hybrid organic-inorganic perovskites by Li, Wei, Docampo, Pablo, Mohite, Aditya D., Zhang, Hua

    Published 2019
    “…More importantly, the chemical and structural diversity of 2D HOIPs offers greater opportunities to fine-tune and engineer properties and functionalities compared with their 3D counterparts.…”
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    Journal Article
  20. 900

    RanDumb: random representations outperform online continually learned representations by Prabhu, A, Sinha, S, Kumaraguru, P, Torr, PHS, Sener, O, Dokania, PK

    Published 2025
    “…Extending our investigation to popular exemplar-free scenarios with pretrained models, we find that training only a linear classifier on top of pretrained representations surpasses most continual fine-tuning and prompt-tuning strategies. Overall, our investigation challenges the prevailing assumptions about effective representation learning in the online continual learning.…”
    Conference item