Abstract: One of the cornerstones of processer vision is visual object recognition based on deep learning. Bounding boxes are also detected by these models, in addition to locating and classifying ...

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...

Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States ...

classify.py is the main python file that trains the model to recognise different types of bears by learning from images We use a neural network (CNN) here to look at 50-100 images of each type of bear ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...

Abstract: Semiconductor manufacturing requires highly precise defect detection to ensure product quality and yield. This paper presents a deep learning-based defect detection framework using Faster ...

Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...

Authors defined metabolic syndrome as “the set of factors that increase the risk of cardiovascular disease and diabetes, such as hypertension, central obesity, insulin resistance, and atherogenic ...