Dynamic Data-Driven Application System for Flow Field Prediction with Autonomous Marine Vehicles

Dynamic Data-Driven Application System for Flow Field Prediction with Autonomous Marine Vehicles

Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real-time data assimilation from flow sensing, and the...

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Bibliographic Details
Main Authors: Qianlong Jin, Yu Tian, Weicong Zhan, Qiming Sang, Jiancheng Yu, Xiaohui Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Journal of Marine Science and Engineering
Subjects:
dynamic data-driven application system
autonomous marine vehicles
flow field prediction
data assimilation
adaptive sampling
Online Access:https://www.mdpi.com/2077-1312/11/8/1617

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