The microscopic processes taking place in superconductors are difficult to observe directly. Researchers at the RPTU ...
The internet and social media have transformed the way in which we hear and understand music today—and online communities and ...
For the first time, a team of researchers at the Institute for Neurosciences (IN), a joint center of the Spanish National ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct concepts for computer vision might be combined to create a more robust ...
Abstract: Currently, deep learning (DL) methods represented by convolutional neural networks (CNNs) or Transformers are of great interest in hyperspectral image (HSI) classification. And recent works ...
Abstract: Hyperspectral image (HSI) classification is an important but challenging task. Conventional convolutional neural networks (CNNs) are able to extract local spectral spatial features but ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results