Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...
BizTech

What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
Frontiers

Advancing 1.5T MR imaging: toward achieving 3T quality through deep learning super-resolution techniques

Introduction: A 3T MRI scanner delivers enhanced image quality and SNR, minimizing artifacts to provide superior high-resolution brain images compared to a 1.5T MRI. Thus, making it vitally important ...
Frontiers

Diagnosis of pneumonia from chest X-ray images using YOLO deep learning

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 ...
IEEE

Image Super-Resolution Using Convolutional Neural Network

Abstract: A deep learning technique for the super-resolution of a single image. With our approach, spatial dependencies are captured and end-to-end mapping between the low/high-resolution images is ...
IEEE

Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution

Abstract: Adversarially trained deep neural networks have significantly improved performance of single image super resolution, by hallucinating photorealistic local textures, thereby greatly reducing ...