Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

Abstract: With the rapid development of deep learning technology, as one of the core tasks in the field of computer vision, the accuracy of image classification has been significantly improved.

Computer vision libraries have changed how AI models classify images. These tools help digital systems understand visual data very well. They allow AI models to spot complex patterns and objects in ...

CNN data analyst Harry Enten reported Wednesday that Democrats are not matching their polling performance from the 2018 midterm elections, when they won control of the House. KATE BOLDUAN, CNN: New ...

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1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...