Ben Williams

This study uses passive acoustic monitoring and two analysis methods to assess how coral restoration affects reef soundscapes, finding differing recovery rates between manual and machine learning approaches.

This paper develops machine learning classifiers to detect coral seeding devices in reef imagery, achieving high accuracy with minimal manual annotation.

The paper uses AI to analyze soundscape data from coral reef restoration sites to assess ecosystem function recovery across multiple regions.

This paper demonstrates that pretrained neural networks and unsupervised learning effectively analyze coral reef soundscapes for ecological insights without manual annotation.