Abstract: To address the issues of excessive parameters and a long training process, this study takes the TriMule-200 robot as an example and proposes a model-based and data-driven dynamic parameter ...
Abstract: This research introduces a feedback-enhanced Conditional Variational Auto-encoder (Feedback-CVAE) for estimating posterior parameters in compartmental models from dynamic positron emission ...
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