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Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
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Danny D?Agostino, Matteo Diez, Mario Felli and Andrea Serani
This study investigates the underlying mechanisms governing the evolution of tip vortices in the far field of a naval propeller wake. To achieve this, a novel approach utilizing data clustering applied to particle image velocimetry snapshots is employed....
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Fan Yin, Chao Li, Haibin Wang, Shihong Zhou, Leixin Nie, Yonglin Zhang and Hao Yin
Digital beamforming techniques find wide applications in the field of underwater acoustic array signal processing. However, their azimuthal resolution has long been constrained by the Rayleigh limit, consequently limiting their detection performance. In ...
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Leonie S. Föhring, Peter Møller Juhl and Dietrich Wittekind
The strong increase in anthropogenic underwater noise has caused a growing intention to design quieter ships given that ship propellers are one of the dominating noise sources along the worldwide shipping routes. This creates an imminent demand for deepe...
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Rongrong Wu, Mingdong Dong and Lei Liu
The unique nano?bio interfacial phenomena play a crucial role in the biosafety and bioapplications of nanomaterials. As a representative two-dimensional (2D) nanomaterial, molybdenum disulfide (MoS2) has shown great potential in biological applications d...
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