Scalable Underwater Ecosystem Monitoring Through Acoustic Sensor Networks
Distributed sensing and analytics for robust, long-term aquatic ecosystem assessment using cutting-edge acoustic sensor technology.
The SWARM project aims to develop innovative underwater acoustic sensor networks for comprehensive marine ecosystem monitoring. By leveraging machine learning algorithms and autonomous systems, we enable real-time data collection and analysis for environmental research and conservation efforts.
The core objectives driving this research initiative
