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