Showing 881 - 900 results of 3,029 for search '(((pinna OR pina) OR (pinn OR opined)) OR (pina OR (ling OR long)))', query time: 0.18s Refine Results
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    Telecommunication postage stamps by Tan, Jia Hao

    Published 2015
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    Final Year Project (FYP)
  9. 889

    Denoising ECG signals by Oh, Melissa Kai Zhen

    Published 2018
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    Final Year Project (FYP)
  10. 890
  11. 891
  12. 892

    Learning from nature : experimental observation of mimosa pudica by Zhang, Yi

    Published 2021
    “…Remarkably, the partial pinna stimulation demonstrated a twofold increase in closing time in comparison to entire pinna stimulation, which implied the stimulation contact area did play a significant part in pinna closing time but had no effect on pinna reopening time. …”
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    Final Year Project (FYP)
  13. 893
  14. 894

    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
  15. 895
  16. 896

    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. 897
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    Roadmap on energy harvesting materials by Pecunia, Vincenzo, Silva, S Ravi P, Phillips, Jamie D., Artegiani, Elisa, Romeo, Alessandro, Shim, Hongjae, Park, Jongsung, Kim, Jin Hyeok, Yun, Jae Sung, Welch, Gregory C., Larson, Bryon W., Creran, Myles, Laventure, Audrey, Sasitharan, Kezia, Flores-Diaz, Natalie, Freitag, Marina, Xu, Jie, Brown, Thomas M., Li, Benxuan, Wang, Yiwen, Li, Zhe, Hou, Bo, Hamadani, Behrang H., Defay, Emmanuel, Kovacova, Veronika, Glinsek, Sebastjan, Kar-Narayan, Sohini, Bai, Yang, Kim, Da Bin, Cho, Yong Soo, Žukauskaitė, Agnė, Barth, Stephan, Fan, Feng Ru, Wu, Wenzhuo, Costa, Pedro, del Campo, Javier, Lanceros-Mendez, Senentxu, Khanbareh, Hamideh, Wang, Zhong Lin, Pu, Xiong, Pan, Caofeng, Zhang, Renyun, Xu, Jing, Zhao, Xun, Zhou, Yihao, Chen, Guorui, Tat, Trinny, Ock, Il Woo, Chen, Jun, Graham, Sontyana Adonijah, Yu, Jae Su, Huang, Ling-Zhi, Li, Dan-Dan, Ma, Ming-Guo, Luo, Jikui, Jiang, Feng, Lee, Pooi See, Dudem, Bhaskar, Vivekananthan, Venkateswaran, Kanatzidis, Mercouri G., Xie, Hongyao, Shi, Xiao-Lei, Chen, Zhi-Gang, Riss, Alexander, Parzer, Michael, Garmroudi, Fabian, Bauer, Ernst, Zavanelli, Duncan, Brod, Madison K., Malki, Muath Al, Snyder, G. Jeffrey, Kovnir, Kirill, Kauzlarich, Susan M., Uher, Ctirad, Lan, Jinle, Lin, Yuan-Hua, Fonseca, Luis, Morata, Alex, Martin-Gonzalez, Marisol, Pennelli, Giovanni, Berthebaud, David, Mori, Takao, Quinn, Robert J., Bos, Jan-Willem G., Candolfi, Christophe, Gougeon, Patrick, Gall, Philippe, Lenoir, Bertrand, Venkateshvaran, Deepak, Kaestner, Bernd, Zhao, Yunshan, Zhang, Gang, Nonoguchi, Yoshiyuki, Schroeder, Bob C., Bilotti, Emiliano, Menon, Akanksha K., Urban, Jeffrey J., Fenwick, Oliver, Asker, Ceyla, Talin, A. Alec, Anthopoulos, Thomas D., Losi, Tommaso, Viola, Fabrizio, Caironi, Mario, Georgiadou, Dimitra G., Ding, Li, Peng, Lian-Mao, Wang, Zhenxing, Wei, Muh-Dey, Negra, Renato, Lemme, Max C., Wagih, Mahmoud, Beeby, Steve, Ibn-Mohammed, Taofeeq, Mustapha, K. B., Joshi, A. P.

    Published 2024
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    Journal Article
  19. 899

    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
  20. 900

    Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers by Mishra, T, Sutanto, E, Rossanti, R, Pant, N, Ashraf, A, Raut, A, Uwabareze, G, Oluwatomiwa, A, Zeeshan, B

    Published 2024
    “…Majority (57.5%) of these participants practiced in an academic setting with a median of 7 (2,18) PubMed Indexed published articles. 198 respondents (87.6%) were aware of LLMs and those who were aware had higher number of publications (p < 0.001). 18.7% of the respondents who were aware (n = 37) had previously used LLMs in publications especially for grammatical errors and formatting (64.9%); however, most (40.5%) did not acknowledge its use in their papers. 50.8% of aware respondents (n = 95) predicted an overall positive future impact of LLMs while 32.6% were unsure of its scope. 52% of aware respondents (n = 102) believed that LLMs would have a major impact in areas such as grammatical errors and formatting (66.3%), revision and editing (57.2%), writing (57.2%) and literature review (54.2%). 58.1% of aware respondents were opined that journals should allow for use of AI in research and 78.3% believed that regulations should be put in place to avoid its abuse. …”
    Journal article