Specific Emitter Identification Based on Complex Fourier Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3135378
Abstract: Specific emitter identification (SEI) is a well-established approach to providing precise target information for civilian and military applications. For most deep learning (DL) based SEI schemes, neural operators directly learn mappings from the raw baseband… read more here.
Keywords: specific emitter; fourier neural; complex fourier; emitter identification ... See more keywords
Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16010024
Abstract: Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid flow in porous media, as a suitable replacement for classical numerical approaches. Such data-driven approaches attempt to learn mappings between finite-dimensional… read more here.
Keywords: fourier neural; neural operator; fluid flow; porous media ... See more keywords
Fourier Neural Operator Network for Fast Photoacoustic Wave Simulations
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16020124
Abstract: Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoacoustic wave equation… read more here.
Keywords: network; photoacoustic wave; fourier neural; computational grid ... See more keywords