@inproceedings{d7342152d32c41de92f7f0da8c72d08d,
title = "A methodology to define underwater acoustic radiated noise norms for small commercial vessel classes using neural networks",
author = "Amy Deeb and Seto, {Mae L.}",
note = "Funding Information: This work was completed in the first author{\textquoteright}s capacity as an industrial post-doctoral fellow supported in part by Mitacs through the Mitacs Accelerate program. The data used was collected under the “Underwater Radiated Noise (URN) and Green House Gas Reduction Program for Canada{\textquoteright}s Inshore Fishing Craft” Project funded by the Transport Canada Innovation Centre. The authors are grateful to the Applied Technologies Group of Lloyd{\textquoteright}s Register, EMCC Electronics Inc. and Graphite Innovation and Technologies (GIT) for their efforts in collecting, validating, and making available the data used in this work. Funding Information: This work was completed in the first author's capacity as an industrial post-doctoral fellow supported in part by Mitacs through the Mitacs Accelerate program. The data used was collected under the {"}Underwater Radiated Noise (URN) and Green House Gas Reduction Program for Canada's Inshore Fishing Craft{"} Project funded by the Transport Canada Innovation Centre. The authors are grateful to the Applied Technologies Group of Lloyd's Register, EMCC Electronics Inc. and Graphite Innovation and Technologies (GIT) for their efforts in collecting, validating, and making available the data used in this work. Publisher Copyright: {\textcopyright} 2022 Acoustical Society of America.; 2022 International Conference on Underwater Acoustics, ICUA 2022 ; Conference date: 20-06-2022 Through 23-06-2022",
year = "2022",
doi = "10.1121/2.0001633",
language = "English",
series = "Proceedings of the Institute of Acoustics",
publisher = "Institute of Acoustics",
booktitle = "International Conference on Underwater Acoustics, ICUA 2022",
address = "United Kingdom",
}