Notice that our predicted tonnage of rhenium mineralization for skarn W Mo systems is on the same order of magnitude as the observed tonnage in a typical skarn W Mo systems (Table 5).
Our predicted tonnage of rhenium mineralization for porphyry Cu Mo systems is about one order of magnitude higher than the observed tonnage in typical porphyry systems (such as La Disputada, Chile), but is on the same order of magnitude as the tonnage observed in the giant porphyry Cu Mo systems (e.g., El Teniente, Chile) (Table 5).
Table 3 Vessel attribute prediction performance, measured as correlation of manual truth and predicted labels for 158,850 images in IMO testing set Draught Gross tonnage Length Summer deadweight SVM 0.7556 0.8301 0.8696 0.7930 CNN 0.7911 0.7911 0.7911 0.7911.
Table 4 Vessel attribute prediction performance, measured as coefficient of determination between manual truth and predicted labels for 158,850 images in IMO testing set Draught Gross tonnage Length Summer deadweight SVM 0.598 0.554 0.743 0.481 CNN 0.770 0.419 0.863 0.466.
The total amount of Re predicted based on our experimental results can then be compared to the amounts calculated in the preceding section from grade and tonnage data.
Moreover, as novel problems, we attempt tasks of predicting and classifying vessel attributes: draught, gross tonnage, length, and summer deadweight.
Here, as interesting applications, by studying only the visual content, we targeted predicting and classifying four important attributes: draught, gross tonnage, length, and summer deadweight.
Table 4 shows that attribute-based representation performs better for predicting length and draught; nevertheless, it performs slightly worse for gross tonnage and summer deadweight.
Furthermore, we attempted interesting problems of visual marine surveillance such as predicting and classifying maritime vessel attributes such as length, summer deadweight, draught, and gross tonnage by solely interpreting the visual content in the wild, where no additional cues such as scale, orientation, or location are provided.
Truck tonnage jumped in June.
The Truck Tonnage Index falls.
