Showing 141 - 160 results of 910 for search '((pinn OR spinggg) OR ((((scans OR scan) OR (pink OR spink)) OR (espina OR ssspina)) OR pin))', query time: 0.18s Refine Results
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  15. 155

    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. 156

    3D spine shape estimation from single 2D DXA by Bourigault, E, Jamaludin, A, Zisserman, A

    Published 2024
    “…In this study, we propose an automated general framework to estimate the 3D spine shape from 2D DXA scans. We achieve this by explicitly predicting the sagittal view of the spine from the DXA scan. …”
    Conference item
  17. 157

    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
  18. 158

    Imaging and processing of tree trunk by Hong, Yuan Ming

    Published 2020
    “…In this report, planar B-Scans using EM waves were explored and seeks to analyse how does the various tree condition affects the planar B-Scan results. …”
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    Final Year Project (FYP)
  19. 159

    Identifying independent sub-networks of functional connectome of the brain by Chan, Jin Hao

    Published 2015
    “…Aside from every day activities however, the brain is also active when it is in a resting state, which is when the human is not performing any task-related activities. By using FMRI scans, we are able to observe the Blood Oxygenation Level Dependent (BOLD) signals within the resting brain and derive patterns from it. …”
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    Final Year Project (FYP)
  20. 160

    Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality by Kashyap, Rajan, Bhattacharjee, Sagarika, Yeo, Thomas B. T., Chen, Annabel Shen-Hsing

    Published 2021
    “…In this aspect, multiple rs-fMRI scans from single subjects can provide interesting clues about the rs-fMRI patterns, though scan-to-scan variability pose challenges. …”
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    Journal Article