This repository contains the implementation of deep learning Convolutional Neural Network (CNN) algorithms for cervical cancer screening. The algorithm aims to assist in the early detection and ...

Neural networks have shown colossal accuracy in image classification and segmentation problems. In this project, we propose comparative studies of various deep learning models based on different types ...

Impact Statement: We have found that in the field of distributed OFDR sensing systems, there are almost no applications of machine learning algorithms for data demodulation. Therefore, this manuscript ...

The implementation of Deep Learning (DL) utilizes the Convolutional Neural Network (CNN) technique, renowned for its effectiveness in categorizing and recognizing objects in digital photo data. The ...

However, the CNN trained with combination images of WSS and strain showed a sensitivity and specificity of 0.81 and 0.82, respectively. Conclusion CNN-based deep learning algorithm using hemodynamic ...

Research published in the International Journal of Information and Communication Technology describes a new approach to the ...

Common deep learning algorithms include convolutional neural networks (CNNs ... This process can be simplified by an automatic algorithm. Bao and colleagues 9 used CNN to identify scientific abstracts ...

Editor’s Note: This CNN series is, or was ... The team created a machine learning algorithm to analyze images collected by synthetic aperture radar (SAR), a satellite imagery technique that ...