Browsing NTNU Open by Author "Zhu, Xiaoyu"
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Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning
Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2021)Underwater source localization is an important task, especially for real-time operation. Recently, machine learning methods have been combined with supervised learning schemes. This opens new possibilities for underwater ... -
Self-supervised Underwater Source Localization based on Contrastive Predictive Coding
Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2021)This work introduces a two-step self-supervised learning scheme, namely contrastive predictive coding (CPC), for underwater source localization. In the first step, a CPC-based self-supervised feature extractor is trained ... -
Shear Wave Velocity Estimation Based on Deep-Q Network
Zhu, Xiaoyu; Dong, Hefeng (Peer reviewed; Journal article, 2022)Geoacoustic inversion is important for seabed geotechnical applications. It can be formulated as a problem that seeks an optimal solution in a high-dimensional parameter space. The conventional inversion approach exploits ... -
Time-Frequency Fused Underwater Acoustic Source Localization Based on Contrastive Predictive Coding
Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2022)We propose a time-frequency fused underwater acoustic source localization method based on self-supervised learning with contrastive predictive coding. Firstly, two feature extractors are trained to solve the pretext task ... -
Underwater Source Localization and Geoacoustic Inversion based on Machine Learning
Zhu, Xiaoyu (Doctoral theses at NTNU;2023:246, Doctoral thesis, 2023)Marine environmental information is vital for marine engineering applications. Underwater acoustic remote sensing is a common approach to obtaining marine environmental information by acoustic waves. With the development ...