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Found 3 papers, 0 papers with code
The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images
We present a simple but novel hybrid approach to hyperspectral data cube reconstruction from computed tomography imaging spectrometry (CTIS) images that sequentially combines neural networks and the iterative Expectation Maximization (EM) algorithm.
The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images
A novel method, utilizing convolutional neural networks (CNNs), is proposed to reconstruct hyperspectral cubes from computed tomography imaging spectrometer (CTIS) images.
Testing the dark SU(N) Yang-Mills theory Confined Landscape: From the Lattice to Gravitational Waves
We pave the way for future gravitational-wave detection experiments, such as the Big Bang Observer and DECIGO, to constrain dark sectors made of SU(N) Yang-Mills confined theories.
Gravitational Wave Detection
High Energy Physics - Phenomenology
High Energy Astrophysical Phenomena
General Relativity and Quantum Cosmology
High Energy Physics - Lattice
High Energy Physics - Theory
