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Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning
In recent years, the development of Artificial Intelligence (AI) has shown tremendous potential in diverse areas.
Kalman Bayesian Neural Networks for Closed-form Online Learning
Compared to point estimates calculated by standard neural networks, Bayesian neural networks (BNN) provide probability distributions over the output predictions and model parameters, i. e., the weights.
Cardiac CT segmentation based on distance regularized level set
Before analy z ing the CT image, it is very important to segment the heart image, and the left ve ntricular (LV) inner and outer membrane segmentation is one of the most important contents.
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