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The proposed architecture mainly relies on the Automated Identification System and a constructed vessel database.
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It uses a robust neural network (NN) structure with different algorithms based on two fishing vessel databases containing the hull geometry and stability related parameters.
The existing vessels in the database are regarded as new-buildings in the calculations, despite their age.
The average economic speed of the vessels in the database based on private costs is 19,08 knots, based on social costs 13,6 knots, a difference of 5.48 knots.
It may also help annotating vessel images uploaded to a database when no meta-data is present.
The DRIVE and STARE dataset are excellent databases of retinal vessel pixel segmentations; however, they do not include width measurements.
As the UK VMS database retains incomplete data on vessel gear type and vessels can change their gear seasonally it was necessary for the speed rule to encompass many types of fisheries activities, for example beam trawling, gill netting and longlining.
Based on a largely untapped historical database on worldwide merchant vessel movements, we compare current and past states of network configuration, assuming that successive and major technological (and wider economic) changes affected the dimension and architecture of the macro-system.
Effort was estimated by taking into account the number of boats, length, and gross tonnage information obtained from the General Fisheries Commission for the Mediterranean (GFCM) database on the Authorized Vessel List and from the FAO Fishing Fleet online database [ Food and Agriculture Organization (FAO), 2010a].
Repeated PCI rates due to target vessel revascularisation were identified from the PCI database and subsequent surgical revascularisation rates were calculated from analysis of the surgical database.
Other Information on the Web: Sailing Ship (//infa.abo.fi/~fredrik/sships) offers a database of large sailing vessels, past and present, including technical data, historical information, and photographs.
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