Abstract: Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI) classification using a convolutional ...

Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...

Far-right candidate Abelardo de la Espriella, who was endorsed by US President Donald Trump, won the preliminary count of the ...

Making cold brew is so easy that you can whip up a batch in an old jam jar. Dedicated cold brew coffee makers simplify that ...

Cooking Indian food often means dealing with oil, smoke, spices and strong aromas. Whether you’re frying pakoras during the ...

Every household used to have a standard mixer grinder earlier. It was a simple set up, you had different jars for different needs and the features were also quite similar.In 2026, you walk into a ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features". M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler ...

The repository contains official PyTorch implementations of training and evaluation codes and pre-trained models for our ICASSP 2024 paper LEFormer. Figure 1: Overview architecture of LEFormer, ...