C&EN

Identifying Balls Feature in a Large-Scale Laser Point Cloud of a Coal Mining Environment by a Multiscale Dynamic Graph Convolution Neural Network

College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China ...
GitHub

A Computationally Optimized and Dynamically Refined Framework for Structure-Preserving Low-Light Image Enhancement via Hermite Polynomial Analytic Functions

You are not limited to the LOL dataset. You can place any images in source/low/. The algorithm will process whatever files it finds there: Why 64? 64 = 128/2: one exposure stop below the perceptually ...
IEEE

FDTD-Based Metamaterial (MTM) Modeling and Simulation [Testing Ourselves]

Abstract: Metamaterial (MTM) modeling and simulation using the Finite-Difference Time-Domain (FDTD) method is discussed. The frequency dependence of the permittivity and permeability of the ...
Princeton University

ELE 201: Information Signals

Signals that carry information play a central role in technology and engineering — signals ranging from sound and images to sensors, radar, communication, MRI, ultrasound, touch-screens, GPS, and ...
Frontiers

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

Deep learning neural networks are especially potent at dealing with structured data, such as images and volumes. Both modified LiviaNET and HyperDense-Net performed well at a prior competition ...
Frontiers

Brain Network Analysis and Classification Based on Convolutional Neural Network

Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not ...