OIL SPILL DETECTION USING MACHINE LEARNING AND INFRARED IMAGES

Oil Spill Detection Using Machine Learning and Infrared Images

The detection of oil spills in water is a frequently researched area, but most of the research has been based on very large patches of crude oil on offshore areas.We present a novel framework for detecting oil spills inside a port environment, while using unmanned areal vehicles (UAV) and a thermal infrared (IR) camera.This framework is split into

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Sectoral use of imported wood raw material in Turkey

In this study, it is determined that usage areas of imported round wood, sawn wood and shaped wood regarding to tree species and factors affecting importer behavior and import trends in GRAPE SEED Turkey.The research data were collected for 2014 and 2015 with face-to-face surveys from enterprises importing 500 m3 or more on a provincial basis.Accor

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Application of the malaria management model to the analysis of costs and benefits of DDT versus non-DDT malaria control.

IntroductionDDT is considered to be the most cost-effective insecticide for combating malaria.However, it is also the most environmentally persistent and can pose risks to human health when sprayed indoors.Therefore, the use of DDT for vector control remains controversial.MethodsIn this paper we develop a computer-based simulation model to assess s

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Rosetta Lander Batteries Experience During All Operation Phases

Rosetta is an ambitious ESA mission, launched in March 2004 from Kourou and which performed a rendezvous with comet 67/P Churyumov-Gerasimenko.Its lander, Philae, achieved landing on comet soil on the 12th November 2014 and performed 64 hours of science activities on its batteries before going into hibernation due to lack Scooters of solar energy.P

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