Feature-based domain adaptation methods project samples from different domains into the same feature space and try to align the distribution of two domains to learn an effective transferable model.

Here, using NMR, we explore slow (subsecond) and fast (submillisecond to millisecond) structural transitions sampled by the isolated C-terminal domain of RfaH. In addition to the predominant, ...

Thanks to the development of deep learning, machine abnormal sound detection (MASD) based on unsupervised learning has exhibited excellent performance. However, in the task of unsupervised MASD, there ...