Assessing acoustic receiver detection efficiency using autocorrelation adjusted machine learning models

Abstract Background Detection efficiency is a key performance metric for acoustic telemetry arrays, providing an estimate of the probability of detecting a passing tagged organism. It is influenced by environmental (e.g., discharge), technological (e.g., transmitter power), and habitat (e.g., noise)...

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Bibliographic Details
Main Authors: Devon A. Smith, James A. Crossman, Eduardo G. Martins
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Animal Biotelemetry
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Online Access:https://doi.org/10.1186/s40317-025-00419-z
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