Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise-Reference-Cited by-同舟云学术

Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise

Published:2023-04 Issue:2 Volume:48 Page:349-364
ISSN:0364-9059
Container-title:IEEE Journal of Oceanic Engineering
language:
Short-container-title:IEEE J. Oceanic Eng.

Author:

Trucco Andrea¹^ORCID,Barla Annalisa²^ORCID,Bozzano Roberto³^ORCID,Pensieri Sara³^ORCID,Verri Alessandro²,Solarna David¹

Affiliation:

1. Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

2. Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Genoa, Italy

3. National Research Council of Italy, Institute for the Study of Anthropic Impact and Sustainability in the Marine Environment (CNR-IAS), Genoa, Italy

Funder

Italian framework Programma Nazionale di Ricerca in Antartide

European Commission

EMSO-ERIC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering

Link

http://xplorestaging.ieee.org/ielx7/48/10102344/10013659.pdf?arnumber=10013659

Reference46 articles.

1. Wind Speed Estimation Using Acoustic Underwater Glider in a Near-Shore Marine Environment

2. Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting

3. Monitoring Greek Seas Using Passive Underwater Acoustics

4. Improving Radar-Based Rainfall Forecasts by Long Short-Term Memory Network in Urban Basins

5. Machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020)

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