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Huaxin Pan, Kangxu Tang, Jia Zhuo, Yuming Lu, Jialong Chen and Zhichao Lv
Acoustic monitoring is an efficient technique for oil spill detection, and the development of acoustic technology is conducive to achieving real-time monitoring of underwater oil spills, providing data references and guidance for emergency response work....
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Duoxun Fang, Adham Al-akhali, Molin Cao, Jiahao Liu and Zhengqiang Tang
Preparing underwater superoleophobic surface is an effective method to solve the problems of oil adhesion on the underwater surfaces and oil spill in water. However, the underwater superoleophobic surfaces at present are not reliable in practical applica...
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Daniel Gomez-Ibanez, Amy L. Kukulya, Abhimanyu Belani, Robyn N. Conmy, Devi Sundaravadivelu and Lisa DiPinto
A newly developed water sampling system enables autonomous detection and sampling of underwater oil plumes. The Midwater Oil Sampler collects multiple 1-L samples of seawater when preset criteria are met. The sampler has a hydrocarbon-free sample path an...
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Yaomei Wang, Craig Bulger, Worakanok Thanyamanta and Neil Bose
Adaptive sampling provides an innovative and favorable method of improving the effectiveness of underwater vehicles in collecting data. Adaptive sampling works by controlling an underwater vehicle by using measurements from sensors and states of the vehi...
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Huajun Song, Jie Song and Peng Ren
The existing oil spill detection methods mainly rely on physical sensors or numerical models cannot locate the spill position accurately and in time. To solve this problem, combining with underwater image processing technology, an unsupervised detection ...
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Xin Li, José-Fernán Martínez and Gregorio Rubio
Ontologies have been widely used to facilitate semantic interoperability and serve as a common information model in many applications or domains. The Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project, aiming to facilitate coor...
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