Electric customers across New England could be saddled with up to $500 million in additional annual supply costs if work does not resume on the nearly-completed Revolution Wind project, officials with ...

This repository contains code for an image caption generation system using deep learning techniques. The system leverages a pretrained VGG16 model for feature extraction and a custom captioning model ...

1Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. 2Guangdong Provincial Key Laboratory of ...

Purpose: To develop and evaluate a deep learning system for screening multiple abnormal findings including hemorrhages, drusen, hard exudates, cotton wool spots and retinal breaks using ...

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 ...

Objective: To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic ...

Abstract: Image captioning means generating relevant texts from images that describe the image. With the growing advancement of deep learning, automatic image caption generation has become an exciting ...

Abstract: Over the last few years deep neural network made image captioning conceivable. Image caption generator provides an appropriate title for an applied input image based on the dataset. The ...