Abstract: The term “blind denoising” refers to the fact that the basis used for denoising is learned from the noisy sample itself during denoising. Dictionary learning- and transform learning-based ...
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Sit me and one of my riding buddies within earshot of a non-cyclist in a local cafe and I’d wager ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...
There are many types of different transmission designs which have been developed to offer advantages for certain types of vehicles. A hydrostatic transmission is a unique setup which utilizes ...
Hydrostatic weighing, also known as underwater weighing, is a method to measure a person's body fat and lean body mass; it involves sitting on a specialized scale in a water tank. It has generally ...
AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...
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