Augmenting biologging with supervised machine learning to study in situ behavior of the medusa Chrysaora fuscescens
C. Fannjiang, T. A. Mooney, S. Cones, D. Mann, K. A. Shorter, K. Katija
The paper uses biologging and supervised machine learning to study in situ behavior of jellyfish, identifying tag data corruption and classifying behaviors for long-term activity analysis.
bioRxiv · Jun 3, 2019Animal Behavior & Cognition