Magnetoacoustic cutoff frequency rises with height from 3.0 mHz at 0.38 Mm to 8.5 mHz at 1.2 Mm based on cross-wavelet analysis of IRIS Doppler velocities.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
An ensemble classifier enriched with PARAFAC CP tensor decompositions achieves strong validation performance on multi-class neurological disorder prediction from a large MRI dataset.
Tensor networks developed for quantum states are reviewed as tools for machine learning models, with assessment of their potential computational, explanatory, and privacy advantages alongside remaining challenges.
A survey of variational quantum algorithms, quantum neural networks, and tensor networks for addressing scalability challenges in computational fluid dynamics.
citing papers explorer
-
Height Variations of Magnetoacoustic Cutoff Frequency in the Solar Atmosphere
Magnetoacoustic cutoff frequency rises with height from 3.0 mHz at 0.38 Mm to 8.5 mHz at 1.2 Mm based on cross-wavelet analysis of IRIS Doppler velocities.
-
Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering
An ensemble classifier enriched with PARAFAC CP tensor decompositions achieves strong validation performance on multi-class neurological disorder prediction from a large MRI dataset.
-
Quantum-inspired tensor networks in machine learning models
Tensor networks developed for quantum states are reviewed as tools for machine learning models, with assessment of their potential computational, explanatory, and privacy advantages alongside remaining challenges.
-
A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics
A survey of variational quantum algorithms, quantum neural networks, and tensor networks for addressing scalability challenges in computational fluid dynamics.