Titlebook: Marine Renewable Energy Technology and Environmental Interactions; Mark A. Shields,Andrew I.L. Payne Book 2014 Springer Science+Business M

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书目名称Marine Renewable Energy Technology and Environmental Interactions影响因子(影响力)




书目名称Marine Renewable Energy Technology and Environmental Interactions影响因子(影响力)学科排名




书目名称Marine Renewable Energy Technology and Environmental Interactions网络公开度




书目名称Marine Renewable Energy Technology and Environmental Interactions网络公开度学科排名




书目名称Marine Renewable Energy Technology and Environmental Interactions被引频次




书目名称Marine Renewable Energy Technology and Environmental Interactions被引频次学科排名




书目名称Marine Renewable Energy Technology and Environmental Interactions年度引用




书目名称Marine Renewable Energy Technology and Environmental Interactions年度引用学科排名




书目名称Marine Renewable Energy Technology and Environmental Interactions读者反馈




书目名称Marine Renewable Energy Technology and Environmental Interactions读者反馈学科排名

EXALT

2213-607X al topics related to wind, wave and tidal energy technology.It is now widely recognized that there is a need for long-term secure and suitable sustainable forms of energy. Renewable energy from the marine environment, in particular renewable energy from tidal currents, wave and wind, can help achiev

Heart-Attack

多嘴

Book 2014 is essential that we be able to distinguish between natural and anthropocentric drivers and impacts. An overview of current understanding of the environmental implications of marine renewable energy technology is provided.

PHIL

痛恨

Mark A. Shields feature learning for song and movie classification tasks, along with analyzing the performance of models on each dataset. While the minimum length snippet of 5 s was enough for the personalized model, the maximum length snippet of 30 s proved to be the most efficient in the case of the generalized

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David K. Woolf,Matthew C. Easton,Peter A. Bowyer,Jason McIlvennyperforming most of the previously proposed methods by a significant margin, as our proposed method achieved a higher Dice score of 83.33 compared to the previous related work methods, which achieved scores varying from 69.3 to 80.28. The efficiency of our proposed approach will be demonstrated in th

FAR

Andrew Want,Robert A. Beharie,Michael C. Bell,Jon C. Sides and segmentation of instrument in colonoscopy images from the MedAI challenge. We compare them in the light of various metrics (segmentation performance, training time) and show that SegFormer can be a true competitor to U-Net and should be carefully considered for future tasks in medical image se

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Thomas G. Dahlgren,Marie-Lise Schläppy,Aleksej Šaškov,Mathias H. Andersson,Yuri Rzhanov,Ilker Ferctively compared with 0.512. The segmentation performance was better when the stroke lesions were subcortical than when they were cortical, with a mean DSC of 0.635 compared with 0.580, for nnU-Net. We found that including only a small number (n = 12) of scans with lower contrast and lower resolutio

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