Robotics & Machine Learning Daily News2024,Issue(Jul.29) :37-37.

Investigators at University of Sheffield Describe Findings in Machine Learning ( An Inadequate Sampling of the Soundscape Leads To Over-optimistic Estimates of R ecogniser Performance: a Case Study of Two Sympatric Macaw Species)

Robotics & Machine Learning Daily News2024,Issue(Jul.29) :37-37.

Investigators at University of Sheffield Describe Findings in Machine Learning ( An Inadequate Sampling of the Soundscape Leads To Over-optimistic Estimates of R ecogniser Performance: a Case Study of Two Sympatric Macaw Species)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Sheffield, United Ki ngdom, by NewsRx correspondents, research stated, “Passive acousticmonitoring ( PAM) - autonomously recording ambient sound - could dramatically increase the sc ale androbustness of species monitoring in rainforest ecosystems. PAM generates large volumes of data thatrequire automated methods of target species detectio n.”

Key words

Sheffield/United Kingdom/Europe/Cybor gs/Emerging Technologies/Machine Learning/University of Sheffield

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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