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Acquiring large amounts of hyperspectral data of small intestinal tissue with real labels in the clinic is difficult, and the data shows inter‐patient variability. Building an automatic identification model using a small dataset presents a crucial challenge in obtaining a strong generalization of the model. This study aimed to explore the performance of hyperspectral imaging and transfer learning...
Nowadays, wireless video sensor networks (WVSNs) play a prominent role in a wide range of security, industrial, medical and environmental applications. Unlike traditional sensors such as heat or light sensors often considered with omnidirectional sensing range, the sensing range of a video sensor can be deemed as a fan-shape in 2D and pyramid-shape in 3D, rendering the deployment solutions for traditional...
Electromagnetic radiation patterns are commonly visualized in 3D graphics to facilitate the design of antennas. Existing software are often proprietary and lack of interactive navigation capability for web users. A direct web-based visualization system with real-time interactive rendering capability can benefit EM education and facilitate research and development cycles significantly. This study demonstrates...
Dynamic Bayesian networks (DBNs) have been widely studied in multi-modal speech recognition applications. Here, we introduce DBNs into an acoustically-driven talking face synthesis system. Three prototypes of DBNs, namely independent, coupled, and product HMMs were studied. Results showed that the DBN methods were more effective in this study than a multilinear regression baseline. Coupled and product...
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