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Jinshuai Bai
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2020 – today
- 2024
- [j4]Laith Alzubaidi
, Hussein Khalefa Chlaib
, Mohammed A. Fadhel
, Yubo Chen
, Jinshuai Bai
, Ahmed Shihab Albahri
, Yuantong Gu
:
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction. Eng. Appl. Artif. Intell. 129: 107627 (2024) - [i6]Yizheng Wang, Xiang Li, Ziming Yan, Yuqing Du, Jinshuai Bai, Bokai Liu, Timon Rabczuk, Yinghua Liu:
HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. CoRR abs/2404.07943 (2024) - [i5]Yizheng Wang, Jia Sun, Jinshuai Bai, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. CoRR abs/2406.11045 (2024) - 2023
- [j3]Laith Alzubaidi
, Aiman Al-Sabaawi
, Jinshuai Bai, Ammar Dukhan
, Ahmed H. Alkenani, Ahmed Al-Asadi, Haider A. Alwzwazy, Mohamed Manoufali, Mohammed A. Fadhel, Ahmed Shihab Albahri
, Catarina Moreira, Chun Ouyang, Jinglan Zhang, José Santamaría, Asma Salhi, Freek Hollman, Ashish Gupta, Ye Duan, Timon Rabczuk, Amin M. Abbosh
, Yuantong Gu:
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. Int. J. Intell. Syst. 2023: 1-41 (2023) - [j2]Ahmed Shihab Albahri
, Ali Mohammed, Mohammed A. Fadhel, Alhamzah Alnoor, Noor S. Baqer, Laith Alzubaidi
, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Jinshuai Bai
, Asma Salhi, José Santamaría, Chun Ouyang, Ashish Gupta, Yuantong Gu
, Muhammet Deveci:
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. Inf. Fusion 96: 156-191 (2023) - [j1]Laith Alzubaidi
, Jinshuai Bai
, Aiman Al-Sabaawi
, José Santamaría, Ahmed Shihab Albahri
, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel
, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy
, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin M. Abbosh
, Yuantong Gu
:
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. J. Big Data 10(1): 46 (2023) - [i4]Zilin Li, Jinshuai Bai, Huajing Ouyang, Saulo Martelli
, Ming Tang, Hongtao Wei, Pan Liu, Wei-Ron Han, Yuantong Gu:
Physics-informed neural network for friction-involved nonsmooth dynamics problems. CoRR abs/2303.02542 (2023) - [i3]Jinshuai Bai, Gui-Rong Liu, Ashish Gupta, Laith Alzubaidi
, Xi-Qiao Feng, Yuantong Gu:
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs. CoRR abs/2304.06234 (2023) - 2022
- [i2]Jinshuai Bai, Hyogu Jeong, C. P. Batuwatta-Gamage, Shusheng Xiao, Qingxia Wang, C. M. Rathnayaka, Laith Alzubaidi
, Gui-Rong Liu, Yuantong Gu:
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics. CoRR abs/2210.09060 (2022) - [i1]Jinshuai Bai, Laith Alzubaidi
, Qingxia Wang, Ellen Kuhl
, Mohammed Bennamoun, Yuantong Gu:
Physics-guided deep learning for data scarcity. CoRR abs/2211.15664 (2022)
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last updated on 2024-08-05 21:10 CEST by the dblp team
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