Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.
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| Title: | Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out. |
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| Authors: | Williams B; Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom.; Zoological Society of London, Regents Park, London, United Kingdom., Balvanera SM; Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom., Sethi SS; Department of Life Sciences, Imperial College London, London, United Kingdom., Lamont TAC; Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom., Jompa J; Graduate School, Universitas Hasanuddin, Makassar, Indonesia., Prasetya M; MARS Sustainable Solutions, Makassar, Indonesia., Richardson L; School of Ocean Sciences, Bangor University, Askew Street, Menai Bridge, Anglesey, United Kingdom., Chapuis L; School of Biological Sciences, University of Bristol, Bristol, United Kingdom., Weschke E; School of Biological Sciences, University of Bristol, Bristol, United Kingdom., Hoey A; Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia., Beldade R; Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia.; Estación Costera de Investigaciones Marinas, Millennium Nucleus for Ecology and Conservation of Temperate Mesophotic Reef Ecosystems, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile., Mills SC; CRIOBE, PSL Research University, Moorea, French Polynesia.; Laboratoire d'Excellence 'CORAIL', Perpignan, France., Haguenauer A; CRIOBE, PSL Research University, Moorea, French Polynesia., Zuberer F; CRIOBE, PSL Research University, Moorea, French Polynesia., Simpson SD; School of Biological Sciences, University of Bristol, Bristol, United Kingdom., Curnick D; Zoological Society of London, Regents Park, London, United Kingdom., Jones KE; Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2025 Apr 28; Vol. 21 (4), pp. e1013029. Date of Electronic Publication: 2025 Apr 28 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013029 |
