Recently, the autoencoder (AE) based method plays a critical role in hyperspectral anomaly detection domain. However, due to strong generalised capacity of AE, abnormal samples are usually reconstructed well along with normal background samples. Thus, order separate anomalies from by calculating reconstruction errors, it can be greatly beneficial reduce AE capability for sample while maintainin...

Abstract A human action recognition network (AE-HRNet) based on high-resolution (HRNet) and attention mechanism is proposed for the problem that semantic location information of features are not sufficiently extracted by convolutional networks. Firstly, channel (ECA) module spatial (ESA) introduced; this basis, new base (EABasic) bottleneck (EANeck) modules constructed to reduce computational c...

Purpose: To predict and theoretically investigate the morphology of erythromycin dihydrate crystals. Methods: The crystal morphology of erythromycin dihydrate was predicted using the Bravais-FriedelDonnay-Harker (BFDH) and attachment energy (AE) models of molecular simulation software, Cerius, in vacuo. Results: The morphology predicted by the two models is approximately consistent. The morphol...