首页|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)
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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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.”
SheffieldUnited KingdomEuropeCybor gsEmerging TechnologiesMachine LearningUniversity of Sheffield
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