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Jinshuai Bai
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2020 – today
- 2024
- [j5]Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, Zaenab Alammar, Mohammed A. Fadhel, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Amjad F. Hasan, Jinshuai Bai, Luke Gilliland, Jing Peng, Marco Branni, Tristan Shuker, Kenneth Cutbush, José Santamaría, Catarina Moreira, Chun Ouyang, Ye Duan, Mohamed Manoufali, Mohammad Jomaa, Ashish Gupta, Amin M. Abbosh, Yuantong Gu:
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. Artif. Intell. Medicine 155: 102935 (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 2024-11-07 21:28 CET by the dblp team
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