Abstract: Automatic identification of object of interest in a hyperspectral imagery is promising for remote sensing applications. Spectral knowledge transfer enables autonomous comparison of reference ...

This repo contains the JAX implementation of our ICLR 2024 paper, Neural Spectral Methods: Self-supervised learning in the spectral domain. Yiheng Du, Nithin ...

TorchFSM is a PyTorch-based library for solving PDEs using Fourier spectral method. It is designed for physics-based deep learning and differentiable simulations. Modular by design: TorchFSM offers a ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

1Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts. 2Department of Medicine, Harvard Medical School, Boston, Massachusetts. Search for other works by ...

TSRS boosts the sensitivity of SRS to sub-mM level while maintaining the nature-linewidth-limit spectral lines. This method may find applications in high-density bio-orthogonal labeling, ...

Abstract: In order to reduce the music noise introduced by conventional spectral subtraction method for speech enhancement, we put forward a speech enhancement algorithm based on the combination of ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

1 School of Geosciences and Info-Physics, Central South University, Changsha, China 2 Key Laboratory of Metallogenic Prediction of Nonferrous Metals of Ministry of Education, Central South University, ...

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