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Digital twin-based stress prediction for autonomous gras** of underwater robots with reinforcement learning
X Yang, J Gao, P Wang, Y Li, S Wang, J Li - Expert Systems with …, 2025 - Elsevier
Robots adopt various poses when gras** a specific target object, leading to significant
variations in the distribution of stress fields, especially for robots with multiple degrees of …
variations in the distribution of stress fields, especially for robots with multiple degrees of …
Novel reduced-order framework combining proper orthogonal decomposition and multi-parallel Gaussian process regression: Multi-physics prediction of ethylene …
G Hu, M Chen, J Long - Chemical Engineering Science, 2025 - Elsevier
Accurate multi-physics field prediction is important in the design and optimization for
ethylene cracking furnaces. However, traditional computational fluid dynamics (CFD) …
ethylene cracking furnaces. However, traditional computational fluid dynamics (CFD) …
A Distributed Inference Method Integrating Causal Analysis and Surrogate Models for Optimizing Tuned Mass Damper Parameters to Enhance Offshore Wind Turbine …
R Zhang, L An, X Yang, L He, Z Huang - Reliability Engineering & System …, 2025 - Elsevier
This study proposes a Distributed Inference Method integrating Causal Analysis and
Surrogate Models (DIM-CASM), which aims to predict the structural responses and damage …
Surrogate Models (DIM-CASM), which aims to predict the structural responses and damage …
Optimisation of Occupant Restraint Systems for Autonomous Vehicles in Reclined Postures
Z Wang, W Zhao, X Du, Y Shen… - International Journal of …, 2024 - Taylor & Francis
Occupant restraint systems (ORS) play an integral and critical role in protecting occupant
safety. However, research on optimising ORS in reclined postures in autonomous vehicles is …
safety. However, research on optimising ORS in reclined postures in autonomous vehicles is …