Jinshuai Bai
Orcid: 0000-0002-0753-6428
According to our database1,
Jinshuai Bai
authored at least 13 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2022
2023
2024
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Online presence:
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on orcid.org
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Bibliography
2024
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction.
Eng. Appl. Artif. Intell., 2024
Energy-based physics-informed neural network for frictionless contact problems under large deformation.
CoRR, 2024
Artificial intelligence for partial differential equations in computational mechanics: A review.
CoRR, 2024
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks.
CoRR, 2024
HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators.
CoRR, 2024
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.
Artif. Intell. Medicine, 2024
2023
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.
J. Big Data, December, 2023
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion.
Inf. Fusion, August, 2023
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements.
Int. J. Intell. Syst., 2023
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs.
CoRR, 2023
CoRR, 2023
2022
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics.
CoRR, 2022