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    3D reconstruction from single images by Ping, Guiju

    Published 2024
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    Thesis-Doctor of Philosophy
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    Improved mobility and photovoltaic performance of two-dimensional Ruddlesden−Popper (ThMA)₂(MA)₂M₃I₁₀ perovskites applied in perovskite solar cells by Sun, Ping-Ping, Kripalani, Devesh Raju, Chi, Weijie

    Published 2023
    “…Nevertheless, (ThMA)2(MA)2Cu3I10 was predicted to have the highest PCE of 22.97%, featuring itself as a potential photo–absorber candidate for photovoltaic applications. The findings reported herein not only achieve our goal in designing highly efficient and environmentally-friendly 2DRP perovskites, but also shed light on new strategies for advancing their applications in optoelectronic.…”
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    Journal Article
  12. 172

    Development of a vision-based gesture human-computer interface by Lim, Chun Ping.

    Published 2010
    “…With a few reasonable assumptions, this stage was achieved with 3 image processing techniques, namely background subtraction by codebook method, skin segmentation and contour convexity finding. …”
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    Final Year Project (FYP)
  13. 173

    The inference-boundary model reinterpreting theme and rheme by Leong, Ping Alvin

    Published 2013
    “…The Hallidayan notions of theme and rheme pose an interesting challenge to linguists in their attempts to pin them down more specifically. This paper argues that since the thematic structure of the clause organises it as a message, a useful starting point in theme–rheme research is an understanding of how clausal messages are typically processed by language users. …”
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    Journal Article
  14. 174

    Tribological properties of wax microcapsule modified polymers by Ang, Ping Lon

    Published 2013
    “…The tribology test uses the Pin-On-Disk wear test method and the default tribometer settings used in this project were set at 2000m sliding distance, 40cm/s linear speed and 3N linear load. …”
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    Final Year Project (FYP)
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    Quantum photonic sensors array with machine learning by Ho, Ping-Chien

    Published 2021
    “…DQS-CV protocol can also be used to help improve machine learning which is called the supervised learning assisted by and entangled sensor network(SLAEN).SLAEN converge in less step compared to the conventional algorithm and can find better hyperplanes. It opens a new route to utilize the entanglement power in quantum sensing field.…”
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    Thesis-Master by Coursework
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