Wildlife Monitoring Sea Turtle Behavior Classification Deep learning approaches for automatic identification of underwater sea turtle behaviors using biologging sensors (accelerometers, gyroscopes, depth recorders). Transfer Learning for Conservation Cross-species transfer learning to overcome data scarcity in endangered species monitoring, demonstrated on hawksbill sea turtles. V-Net for Animal Behavior Adapting the V-Net fully convolutional neural network from biomedical image segmentation to temporal sensor data for animal behavior classification. Bioacoustics Bioacoustics & Wildlife Monitoring Improving deep learning acoustic classifiers with contextual information for automated wildlife monitoring, from bird songs to primate calls.
