Exploring Ocean Animal Trajectory Pattern via Deep Learning
We trained a combined deep convolutional neural network to predict seals’ age (3 categories) and gender (2 categories). The entire dataset contains 110 seals with around 489 thousand location records. Most records are continuous and measured in a certain step. We created five convolutional layers fo...
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Language: | en |
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2016
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Online Access: | Wang, S. (2016). Exploring Ocean Animal Trajectory Pattern via Deep Learning. KAUST Research Repository. https://doi.org/10.25781/KAUST-29M51 http://hdl.handle.net/10754/610580 |