Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis
BS Miller, S Madhusudhana… - Remote Sensing in …, 2023 - Wiley Online Library
An automated algorithm for passive acoustic detection of blue whale D‐calls was developed
based on established deep learning methods for image recognition via the DenseNet …
based on established deep learning methods for image recognition via the DenseNet …
Passive acoustic monitoring reveals spatio-temporal distributions of Antarctic and pygmy blue whales around Central New Zealand
VE Warren, A Širović, C McPherson… - Frontiers in Marine …, 2021 - frontiersin.org
Effective management of wild animal populations relies on an understanding of their spatio-
temporal distributions. Passive acoustic monitoring (PAM) is a non-invasive method to …
temporal distributions. Passive acoustic monitoring (PAM) is a non-invasive method to …
Détection et classification dans un contexte acoustique passive: application à la détection des signaux basse-fréquences des baleines bleues
L Bouffaut - 2019 - theses.hal.science
The analysis of the large volumes of data resulting from continuous and long-term
monitoring efforts of blue whales (BWs) benefits from the automated detection of target …
monitoring efforts of blue whales (BWs) benefits from the automated detection of target …
Temporal and spatial distributions of baleen whales in central New Zealand, based on passive acoustic monitoring
V Warren - 2020 - researchspace.auckland.ac.nz
Effective management of wild animal populations relies on an understanding of their spatio-
temporal distributions, and how they overlap with threats. Passive acoustic monitoring (PAM) …
temporal distributions, and how they overlap with threats. Passive acoustic monitoring (PAM) …