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
Efficient Wideband Beamforming with Null Broadening Using Fusion Convolutional Block
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2025.3572575
Abstract: To meet the development requirements of bandwidth and efficiency in future 6G wireless communications, an efficient wideband beamforming (WB) algorithm is proposed based on fusion convolutional block neural network (FCBNN) in this paper, named as… read more here.
Keywords: efficient wideband; fusion convolutional; null broadening; convolutional block ... See more keywords