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Efficient low-thrust trajectory data generation based on generative adversarial network
The generated low thrust transfer data have a high convergence rate, and they can be used to efficiently produce training data for deep learning models.
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier
In recent years, deep learning techniques have been introduced into the field of trajectory optimization to improve convergence and speed.
Adaptive Gray World-Based Color Normalization of Thin Blood Film Images
This paper presents an effective color normalization method for thin blood film images of peripheral blood specimens.
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