Robotics & Machine Learning Daily News2024,Issue(MAY.15) :44-44.

Study Findings on Machine Learning Published by Researchers at Flanders Marine I nstitute (Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings)

Robotics & Machine Learning Daily News2024,Issue(MAY.15) :44-44.

Study Findings on Machine Learning Published by Researchers at Flanders Marine I nstitute (Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Ostend, Belgium, by NewsRx correspondents, research stated, “Studying marine soundscapes by detec ting known sound events and quantifying their spatio-temporal patterns can provi de ecologically relevant information. However, the exploration of underwater sou nd data to find and identify possible sound events of interest can be highly tim e-intensive for human analysts. To speed up this process, we propose a novel met hodology that first detects all the potentially relevant acoustic events and the n clusters them in an unsupervised way prior to manual revision.”

Key words

Flanders Marine Institute/Ostend/Belgi um/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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