Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts

Research article (Ocean Engineering, 2023) · cited 12× · AI/ML
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Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts

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Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-physics-based-and-machine-learning-model-with-interpretability-and-uncertainty-for-real-time-estimation-of-unmeas
MLA “Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-physics-based-and-machine-learning-model-with-interpretability-and-uncertainty-for-real-time-estimation-of-unmeas.
BibTeX @misc{4ortxyz_hybrid-physics-based-and-machine-learning-model-with-interpretability-and-uncertainty-for-real-time-estimation-of-unmeas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-physics-based-and-machine-learning-model-with-interpretability-and-uncertainty-for-real-time-estimation-of-unmeas}, note = {Accessed: 2026-05-24}}
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