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Hyperspectral band selection aims to identify an optimal subset of bands for hyperspectral images (HSIs). For most existing clustering-based band selection methods, they directly stretch each band into a single feature vector and employ the pixelwise features to address band redundancy. In this way, they do not take full consideration of the spatial information and deal with the importance of different regions in HSIs, which leads to a nonoptimal selection. To address these issues, a region-aware hierarchical latent feature representation learning-guided clustering (HLFC) method is proposed. S...

Today the US Patent & Trademark Office published a patent application from Apple that relates to a possible future health related feature regarding the diagnosis and monitoring of bruxism using motion sensors in AirPods.

CHICAGO, Sept. 20, 2022 /PRNewswire/ -- Data Bridge Market Research has just released their extensive report on the "Global Light Detection and Ranging (LiDAR) Market" which details the industry's

/PRNewswire/ -- Data Bridge Market Research has just released their extensive report on the "Global Light Detection and Ranging (LiDAR) Market" which details...

A text semantic classification is an essential approach to recognising the verbal intention of online learners, empowering reliable understanding and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current deep learning models, such as CNN and RNN, are ineffective in classifying verbal content contextually. Moreover, the contribution of verbal elements to semantics is often considerably varied, requiring the attachment of weights to these elements to inc...