Abstract: We propose a novel spatiotemporal fusion method based on deep convolutional neural networks (CNNs) under the application background of massive remote sensing data. In the training stage, we ...
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Abstract: High-resolution digital elevation models (HR DEMs) can provide accurate geographic information, which is widely used in flood risk evaluation, hazard mapping, and hydrological modeling. The ...
This repository contains an implementation of SynthSR, a convolutional neural network that turns a clinical MRI scan (or even CT scan!) of any orientation, resolution and contrast into 1 mm isotropic ...
Tech Xplore on MSN
Upsampling method sharpens AI vision with up to 16 times less GPU memory
From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...
Deep learning maps biomolecular condensate morphology to functional outcomes and sheds light on markers of health.
Traditional global climate models were like early digital cameras—they had only about 10,000 pixels to cover the entire planet. At that low resolution, big storm systems looked like blurry blobs. You ...
Tech Xplore on MSN
Single snapshot unlocks 3D depth with coded aperture and AI
A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple ...
Interesting Engineering on MSN
Deep learning co-design helps scientists project 28-layer 3D images without crosstalk
Engineering researchers at the University of California, Los Angeles (UCLA) have developed an advanced ...
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