Jinshuai Bai

According to our database, Jinshuai Bai authored at least 6 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.

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

J. Big Data, December, 2023

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion.

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

Inf. Fusion, August, 2023

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs.

Jinshuai Bai, Gui-Rong Liu, Ashish Gupta, Laith Alzubaidi, Xi-Qiao Feng, Yuantong Gu

CoRR, 2023

Physics-informed neural network for friction-involved nonsmooth dynamics problems.

Zilin Li, Jinshuai Bai, Huajing Ouyang, Saulo Martelli, Ming Tang, Hongtao Wei, Pan Liu, Wei-Ron Han, Yuantong Gu

CoRR, 2023

2022

Physics-guided deep learning for data scarcity.

Jinshuai Bai, Laith Alzubaidi, Qingxia Wang, Ellen Kuhl, Mohammed Bennamoun, Yuantong Gu

CoRR, 2022

An introduction to programming Physics-Informed Neural Network-based computational solid mechanics.

Jinshuai Bai, Hyogu Jeong, C. P. Batuwatta-Gamage, Shusheng Xiao, Qingxia Wang, C. M. Rathnayaka, Laith Alzubaidi, Gui-Rong Liu, Yuantong Gu

CoRR, 2022