Showing 501 - 520 results of 2,610 for search '(((pinn OR (pina OR spinl)) OR (spie OR (linge OR line))) OR (mingna OR ping))', query time: 0.23s 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
  5. 505

    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
  6. 506

    Study of inertial hydrodynamic focusing in sheath-driven flows for lab-on-a-chip flow cytometry by Panwar, Nishtha, Song, Peiyi, Yong, Ken-Tye, Tjin, Swee Chuan

    Published 2019
    “…Miniature flow cytometer models enable fast and cost-effective management of diseases in vulnerable and low-end settings. The single-line focusing of cell or particle samples is achieved using hydrodynamic forces in the microfluidic channels. …”
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    Journal Article
  7. 507

    Intensity and contrast based surface roughness measurement approaches for rough and shiny surfaces by Prabhathan, P., Song, Chaolong, Haridas, Aswin, Prasad, Guru, Chan, Kelvin

    Published 2019
    “…In addition to this, in situ monitoring of surface roughness on a workpiece is an important requirement in modern machining process, since it would increase on-line machining rate and consequently productivity. …”
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    Journal Article
  8. 508

    Denoising ECG signals by Oh, Melissa Kai Zhen

    Published 2018
    “…ECG signal is known to have plenty of noise signal that corrupts its data, some of these noises are baseline wandering (BW), power-line interferences and electromyographic interferences (EMG). …”
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    Final Year Project (FYP)
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