Abstract: Correct weather condition classification is crucial in intelligent applications such as autonomous cars, smart surveillance, and environmental monitoring. In this paper, a hybrid deep ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...

This project implements an end-to-end pipeline for automatic anatomical landmark detection in chest X-ray images, achieving clinical excellence with 8.13 pixels ...

1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China ...

Abstract: Prostate cancer diagnosis has been transformed by the integration of machine learning techniques, particularly deep learning models. This study focuses on utilizing ResNet for Gleason score ...

This repo is linked to the Heroku platform in order to host the Image Classification app developed using Flask and pre-trained Tensorflow ResNet model on ImageNet ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...