Yueying Wang
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Simplified reinforcement learning optimal path following control for output constrained underactuated autonomous underwater vehicle
Abstract This paper addresses the problems of uncertainties compensation and output constraints for underactuated Autonomous Underwater Vehicles (AUVs) under path following framework, aiming at optimising the update laws and reducing the sensitivity of initial conditions.
Computer Science > Machine Learning
Materials property prediction remains difficult in low-data settings, where many target properties are supported by only a limited number of labeled samples. Models with the strongest predictive accuracy often depend on crystal structures, which restricts their use in early-stage screening when structural information is limited or unavailable.
Obstructive Sleep Apnea and Glycemic Variability in People With Diabetes: A Systematic Review and Meta-Analysis
1 Introduction Diabetes and its complications have greatly increased the global burden of disability and mortality (Zheng et al. 2018). The key to effective diabetes management relies on adequate glycemic control, traditionally assessed by Haemoglobin A1c (HbA1c). However, simply using HbA1c has limitations.
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