Showing 121 - 140 results of 584 for search '(((pinn OR spinna) OR ((sping OR ssspingg) OR shing)) OR (((span OR shingo) OR sshenga) OR pin))', query time: 0.19s Refine Results
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  15. 135

    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
  16. 136

    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
  17. 137

    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)
  18. 138

    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
  19. 139

    DEWP: deep expansion learning for wind power forecasting by Fan, W, Fu, Y, Zheng, S, Bian, J, Zhou, Y, Xiong, H

    Published 2024
    “…To this end, we propose&nbsp;<em>DEWP</em>, a novel&nbsp;<em><span data-="">D</span>eep&nbsp;<span data-="">E</span>xpansion learning for&nbsp;<span data-="">W</span>ind&nbsp;<span data-="">P</span>ower forecasting</em>&nbsp;framework to carefully model the complicated dependencies with adequate expressiveness. …”
    Journal article
  20. 140

    Three-dimensional scour at submarine pipelines by Wu, Yushi.

    Published 2013
    “…Stage II deals with the study of the mechanics of scouring at the span shoulder of the pipeline. Based on the observations and data from Stage I, the hydrodynamic force and differential pressure at the span shoulder are considered the two driving forces of pipeline-scour in the transverse direction of flow. …”
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    Thesis