Showing 81 - 100 results of 201 for search '((pinnae OR spinge) OR ((((pinn OR pina) OR pink) OR spinna) OR pin))', query time: 0.17s Refine Results
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    Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

    Published 2024
    “…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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    Journal Article
  10. 90

    Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

    Published 2024
    “…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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    Journal Article
  11. 91

    Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

    Published 2016
    “…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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    Final Year Project (FYP)
  12. 92

    Pinkcapsule.com : the digital agora. by Choong, Hon Shien., Kwek, David Swee Hong., Ng, Sor Luan., Yeo, Vivan Pih Hwee.

    Published 2008
    “…Build as a Web Portal, PinkCapsule.com aims to be the common destination for Web surfers to interact in a virtual marketplace or agora setting.…”
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    Final Year Project (FYP)
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    Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

    Published 2024
    “…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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    Thesis
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    Robust text-independent speaker verification in environmental noise by Panda, Ashish

    Published 2011
    “…Experimental evaluations of the proposed psychoacoustic model compensation technique conclusively demonstrate that it provides superior performance in both white and pink noise conditions, outperforming parallel model combination by 36% and max function based model compensation by 24%. …”
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    Thesis
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