IEEE

Deep Learning Reparameterized FWI Using a Frequency-Normalized Gradient

Abstract: High-precision full-waveform inversion is a key method for subsurface parameter modeling. Enhancing the contribution of weak low-frequency signals to low-wavenumber components is crucial for ...
IEEE

AlphaGrad: Normalized Gradient Descent for Adaptive Multi-Loss Functions in EEG-Based Motor Imagery Classification

Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Armed robbery in Revesby

Velocity Gradients Explain Large-Scale Magnetic Fields

MADISON — All celestial bodies — planets, suns, even entire galaxies — produce magnetic fields, affecting such cosmic processes as the solar wind, high-energy particle transport, and galaxy formation.
Phys.org

Velocity gradients prove key to explaining large-scale magnetic field structure

All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the solar wind, high-energy particle transport, and galaxy formation. Small-scale ...
EurekAlert!

Velocity gradients key to explaining large-scale magnetic field structure

Ordered magnetic fields spontaneously emerge out of chaotic, tangled fields. This finding is consistent with astrophysical observations. Streamlines of magnetic fields are 3D-rendered and are colored ...