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Innovative load identification with Res-UNet: Integrating phase space reconstruction and physics-informed deep learning

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Date of Publication:2024-09-29

Journal:Ocean Engineering

Volume:312

ISSN No.:0029-8018

Key Words:artificial neural network; Chaotic systems; Deep learning; engineering; Identification modeling; Learning network; Load identification; machine learning; Ocean structures; Performance; Phase space reconstruction; Phase spaces; Physic-driven methodology; Pressure vessels; reconstruction; Reconstruction (structural); Space physics; Space reconstruction; Stress analysis

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