An optimized convolutional network predicts ground-level infrasound transmission loss over 4,000 km ranges with an average error of 8.6 dB against parabolic equation simulations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Deep learning methods for modeling infrasound transmission loss in the middle atmosphere
An optimized convolutional network predicts ground-level infrasound transmission loss over 4,000 km ranges with an average error of 8.6 dB against parabolic equation simulations.