Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder
Sign Up to like & getrecommendations! Published in 2018 at "Physics of Fluids"
DOI: 10.1063/1.5024595
Abstract: A data-driven model is proposed for the prediction of the velocity field around a cylinder by fusion convolutional neural networks (CNNs) using measurements of the pressure field on the cylinder. The model is based on… read more here.
Keywords: velocity field; field around; fusion convolutional; cylinder ... See more keywords
A Multichannel Fusion Convolutional Neural Network Based on Scattering Mechanism for PolSAR Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3047635
Abstract: Polarimetric features extracted from the polarimetric synthetic aperture radar data contain a wealth of target scattering information, but usually lead to the problems, such as network learning burden and high computational consumption. A multichannel fusion… read more here.
Keywords: neural network; multichannel fusion; fusion convolutional; convolutional neural ... See more keywords