Nerlikar, V., Miorelli, R., Recoquillay, A., & d’Almeida, O. (2024). A physics-embedded deep-learning framework for efficient multi-fidelity modeling applied to guided wave based structural health monitoring. Ultrasonics, 141, 107325. https://doi.org/10.1016/j.ultras.2024.107325
Citace podle Chicago (17th ed.)Nerlikar, Vivek, Roberto Miorelli, Arnaud Recoquillay, a Oscar d’Almeida. "A Physics-embedded Deep-learning Framework for Efficient Multi-fidelity Modeling Applied to Guided Wave Based Structural Health Monitoring." Ultrasonics 141 (2024): 107325. https://doi.org/10.1016/j.ultras.2024.107325.
Citace podle MLA (9th ed.)Nerlikar, Vivek, et al. "A Physics-embedded Deep-learning Framework for Efficient Multi-fidelity Modeling Applied to Guided Wave Based Structural Health Monitoring." Ultrasonics, vol. 141, 2024, p. 107325, https://doi.org/10.1016/j.ultras.2024.107325.