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 ...

Can AI create a professional headshot for your LinkedIn profile? See CNN producer's results ...

Developed a deep learning model using TensorFlow and Convolutional Neural Networks to classify disease images of potato plants, including early blight, late blight, and overall plant health in ...

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 ...

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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 ...

Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...