A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak ...
A simulation-only proof of concept shows a compact residual-based neural system can distinguish severe faults across a ...
Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...
A curated list of research on neural (learned) camera image signal processors (ISPs). It covers learned replacements for each stage of the classical pipeline (denoising, demosaicing, white balance, ...
This important study combines cortex-wide activity imaging and optogenetics to characterize large-scale changes in functional connectivity following administration of the psychedelic DOI, as well as ...
This project is a machine learning application built from scratch to classify images of cats and dogs using a Convolutional Neural Network (CNN) model. The dataset includes thousands of images, ...
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