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Variable linear transformation improved physics-informed neural networks to solve thin-layer flow problems.

, , , and . J. Comput. Phys., (March 2024)

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Group Normalization., and . ECCV (13), volume 11217 of Lecture Notes in Computer Science, page 3-19. Springer, (2018)Momentum Contrast for Unsupervised Visual Representation Learning, , , , and . (2019)cite arxiv:1911.05722Comment: CVPR 2020 camera-ready. Code: https://github.com/facebookresearch/moco.Multilinear Map Layer: Prediction Regularization by Structural Constraint., and . CoRR, (2015)Bayesian Relational Memory for Semantic Visual Navigation., , , , , and . ICCV, page 2769-2779. IEEE, (2019)On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving., , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (12): 7289-7302 (2022)FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames., , , , , and . CoRR, (2024)Blockchain-Empowered Big Data Sharing for Internet of Things., , , and . Int. J. Web Serv. Res., 18 (1): 58-69 (2021)Transient Bipartite Synchronization for Cooperative-Antagonistic Multiagent Systems With Switching Topologies., , and . IEEE Trans. Cybern., 52 (11): 11467-11476 (2022)ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games., , , , and . NIPS, page 2659-2669. (2017)Feature Denoising for Improving Adversarial Robustness., , , , and . CVPR, page 501-509. Computer Vision Foundation / IEEE, (2019)