التفاصيل البيبلوغرافية
| العنوان: |
A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis |
| المؤلفون: |
Annalisa Barla, Sara Pensieri, Emanuele Fava, Andrea Trucco, Alessandro Verri, Roberto Bozzano |
| المصدر: |
IEEE Journal of Oceanic Engineering. 47:213-225 |
| بيانات النشر: |
Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: |
2022 |
| مصطلحات موضوعية: |
Underwater noise, Acoustical meteorology, Computer science, business.industry, Rain, Mechanical Engineering, Supervised learning, Ocean Engineering, Acoustics, rainfall detection, Machine learning, computer.software_genre, supervised learning, Wind speed, underwater acoustics, machine learning, Marine vehicles, noise analysis, Sea measurements, Acoustic measurements, Artificial intelligence, Electrical and Electronic Engineering, business, computer |
| تدمد: |
2373-7786
0364-9059 |
| DOI: |
10.1109/joe.2021.3091769 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abf4c50f6e6cf1af14d92eefa8816c5a
https://doi.org/10.1109/joe.2021.3091769 |
| Rights: |
CLOSED |
| رقم الانضمام: |
edsair.doi.dedup.....abf4c50f6e6cf1af14d92eefa8816c5a |
| قاعدة البيانات: |
OpenAIRE |