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Session Lecture Authors
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications Decadal observations of deep ocean temperature change passively probed with acoustic waves Läslo Evers
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications In-water explosions recorded at the IMS hydrophone network from natural and anthropogenic events Tiago Oliveira, Mark Prior
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications Vertical-mode and horizontal-ray modeling of T waves from the 2020 Beirut-port explosion Jean Lecoulant, Abdel-Ouahab Boudraa
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications Hydroacoustic waves detected by an interferometry-based fiber optic strainmeter from a series of submarine earthquakes near Torishima Island, Japan Hiroyuki Matsumoto, Mario Zampolli, Eiichiro Araki, Georgios Haralabus
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications A study of changes in vocalization frequency of Antarctic blue whales and fin whales recorded at CTBTO hydroacoustic stations Stephen Robinson, Peter Harris, Michael Ainslie, Peter Tyack, Michele Halvorsen, Alex MacGillivray, Lian Wang, Valerie Livina
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications Interpretation of fin whales diving behaviour in the vicinity of an IMS hydrophone triplet Ronan Le Bras, Peter Nielsen, Paulina Bittner
04. Comprehensive Nuclear-Test-Ban Treaty Monitoring, and its Civil and Scientific Applications Transmission of the explosive sound in the shallow-water wedge and along a flat bottom of the deep ocean Piotr Borejko
05. Distributed Fiber-Optic Sensing technology for underwater acoustical monitoring Analysis of passive DAS data for observation of microseisms and extracting Scholte wave dispersion in shallow water Hefeng Dong, Michael Taroudakis
05. Distributed Fiber-Optic Sensing technology for underwater acoustical monitoring Detection and tracking of baleen whales using a subsea telecommunication cable on the Northwest Shelf of Australia Evgenii Sidenko, Alexander Gavrilov, Christine Erbe, Olivia Collet, Boris Gurevich, Henry Debens, Denise McCorry, Roman Pevzner
05. Distributed Fiber-Optic Sensing technology for underwater acoustical monitoring Comparison of Detection Methods for Fin Whale Calls from Distributed Acoustic Sensing Khanh Truong, Jo Eidsvik, Robin Andre Rørstadbotnen, Jan Petter Morten
05. Distributed Fiber-Optic Sensing technology for underwater acoustical monitoring Deep Learning Approach to Remove Distributed Acoustic Sensing Instrumental Noise Olivia Collet, Xihao Gu, Roman Isaenkov, Evgenii Sidenko, Pavel Shashkin, Roman Pevzner, Konstantin Tertyshnikov, Boris Gurevich, Christine Erbe, Sasha Gavrilov
05. Distributed Fiber-Optic Sensing technology for underwater acoustical monitoring DAS reception of acoustic communications from an AUV John POTTER, Simon Hagen Hoff, Emil Wengle, Sebastian Sikora
06. Enhancing underwater acoustic sensing through machine learning Neural Network-Informed Acoustics Sensors for Optimal Coherent Processing: Benchmarking in a Forward-Modelled Fluctuating Ocean Environment Antoine Blachet, Xavier Cristol, Thomas Mahiout, Dominique Fattaccioli, Gaultier Real
06. Enhancing underwater acoustic sensing through machine learning The urgent call on data management: are we capable to store valuable (meta)data for naval application? Sonia Papili
06. Enhancing underwater acoustic sensing through machine learning Power and accuracy trade-offs for machine learning methods applied to detection of underwater sound sources William Butler, Harrison Smith, Marios Impraimakis, Andrew Barnes, Alan Hunter
06. Enhancing underwater acoustic sensing through machine learning An Investigation of Machine Learning Capabilities for Cavitation Detection Dale Smith, Oscar Carter
06. Enhancing underwater acoustic sensing through machine learning Spatial-frequency sparse adaptive learning for enhancing tonals in impulse noise Fengdan Jiang, Cheng Chi, Chonglei Liu, Guanqun Wang, Shenglong Jin, Yu Li, Haining Huang
06. Enhancing underwater acoustic sensing through machine learning Physics-informed neural networks (PINNs) for underwater acoustic propagation modeling: A review Peng Xiao, Yuxiang Gao, Zhenglin Li
06. Enhancing underwater acoustic sensing through machine learning Phase-Feature-Based Deep Learning Method for Target Depth Discrimination in Shallow-Water Environments Qianyan Li, Wenbo Wang, QUNYAN Ren, Li Ma
06. Enhancing underwater acoustic sensing through machine learning Advancing a Passive Acoustic Simulation to Research Empathetic Artificial Intelligence (EAI) in Human-AI Teaming Madalin Facino, Alan Hunter, Christof Lutteroth, Aaron Roberts, Samantha Dugelay