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Sara Dionísio António, Jebbe van der Werf, Erik Horstman, Iván Cáceres, José Alsina, Joep van der Zanden and Suzanne Hulscher
This paper presents new data from large-scale wave flume experiments. It shows the beach profile evolution and sediment transport for two different bed slopes (1:15 and 1:25), and three irregular high-energy erosive wave conditions and one low-energy acc...
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Muhammad Yasir, Abdoul Jelil Niang, Md Sakaouth Hossain, Qamar Ul Islam, Qian Yang and Yuhang Yin
We aimed to improve the performance of ship detection methods in synthetic aperture radar (SAR) images by utilizing machine learning (ML) and artificial intelligence (AI) techniques. The maritime industry faces challenges in collecting precise data due t...
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Ugne Orinaite, Vilte Karaliute, Mayur Pal and Minvydas Ragulskis
This paper presents the development of an underwater crack detection system for structural integrity assessment of submerged structures, such as offshore oil and gas installations, underwater pipelines, underwater foundations for bridges, dams, etc. Our ...
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Mikel Serrano-Antoñanazas, Jesús-Enrique Sierra-Garcia, Matilde Santos and María Tomas-Rodríguez
Compared to onshore turbines, floating offshore wind turbines (FOWTs) take advantage of the increased availability of offshore wind while causing less environmental impact. However, the strong winds, waves, and currents to which they are subjected trigge...
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Gang Lei, Tianle Liu, Qinzhuo Liao and Xupeng He
Digital rock physics (DRP) has been widely used as an effective approach for estimating the permeability of porous media. However, conventional implementation of DRP requires the reconstruction of three-dimensional (3D) pore networks, which suffer from i...
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