Machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020).
William O. TaylorMarios N. AnagnostouDiego CerraiEmmanouil N. AnagnostouPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- machine learning methods
- underwater acoustic
- acoustic signal
- underwater vehicles
- machine learning
- machine learning algorithms
- machine learning approaches
- surface temperature
- ensemble methods
- acoustic signals
- sensor networks
- wind speed
- source localization
- statistical methods
- communication systems
- mobile robot
- decision trees
- autonomous underwater vehicles
- learning mechanism
- meteorological data
- sonar images
- acoustic features
- measured data
- hidden markov models
- learning algorithm