Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...

The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...

Deep learning neural network for image classification using TensorFlow and Keras. Includes CNN architecture, data preprocessing, and model training scripts.

1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, China 2 ...

This repository contains code for training and evaluating a convolutional neural network (CNN) model to detect pneumonia from chest X-ray images. we trained the model using blow mentioned dataset and ...

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...