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Automated Detection and Classification of Marine Species Vocalizations Using a YOLO-Based Deep Learning Framework.

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Title: Automated Detection and Classification of Marine Species Vocalizations Using a YOLO-Based Deep Learning Framework.
Authors: Kim MJ; Department of Energy Systems Engineering Seoul National University Seoul Republic of Korea., Lee J; Department of Energy Systems Engineering Seoul National University Seoul Republic of Korea., Cho Y; Department of Energy Systems Engineering Seoul National University Seoul Republic of Korea.; Research Institute of Energy and Resources Seoul National University Seoul Republic of Korea., Kim WK; Department of Earth and Environmental Sciences Chungbuk National University Cheongju Republic of Korea., Park J; Agency for Defense Development Changwon Republic of Korea., Lee D; Agency for Defense Development Changwon Republic of Korea., Bae HS; Agency for Defense Development Changwon Republic of Korea.
Source: Ecology and evolution [Ecol Evol] 2026 Apr 15; Vol. 16 (4), pp. e73466. Date of Electronic Publication: 2026 Apr 15 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Pub. Ltd Country of Publication: England NLM ID: 101566408 Publication Model: eCollection Cited Medium: Print ISSN: 2045-7758 (Print) Linking ISSN: 20457758 NLM ISO Abbreviation: Ecol Evol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Automated Detection and Classification of Marine Species Vocalizations Using a YOLO-Based Deep Learning Framework.
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  Data: <searchLink fieldCode="AU" term="%22Kim+MJ%22">Kim MJ</searchLink>; Department of Energy Systems Engineering Seoul National University Seoul Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+J%22">Lee J</searchLink>; Department of Energy Systems Engineering Seoul National University Seoul Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+Y%22">Cho Y</searchLink>; Department of Energy Systems Engineering Seoul National University Seoul Republic of Korea.; Research Institute of Energy and Resources Seoul National University Seoul Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+WK%22">Kim WK</searchLink>; Department of Earth and Environmental Sciences Chungbuk National University Cheongju Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Agency for Defense Development Changwon Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+D%22">Lee D</searchLink>; Agency for Defense Development Changwon Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Bae+HS%22">Bae HS</searchLink>; Agency for Defense Development Changwon Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101566408%22">Ecology and evolution</searchLink> [Ecol Evol] 2026 Apr 15; Vol. 16 (4), pp. e73466. <i>Date of Electronic Publication: </i>2026 Apr 15 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Pub%2E+Ltd%22">Blackwell Pub. Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101566408 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2045-7758 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220457758%22">20457758 </searchLink><i>NLM ISO Abbreviation: </i>Ecol Evol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1002/ece3.73466
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        Text: English
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      – TitleFull: Automated Detection and Classification of Marine Species Vocalizations Using a YOLO-Based Deep Learning Framework.
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              Text: 2026 Apr 15
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