Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
High‐throughput environmental sensing technologies are increasingly central to global
monitoring of the ecological impacts of human activities. In particular, the recent boom in …
monitoring of the ecological impacts of human activities. In particular, the recent boom in …
Machine learning in marine ecology: an overview of techniques and applications
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …
patterns in data. Thanks to the increase in the amount of data and computing power …
A convolutional neural network for automated detection of humpback whale song in a diverse, long-term passive acoustic dataset
Passive acoustic monitoring is a well-established tool for researching the occurrence,
movements, and ecology of a wide variety of marine mammal species. Advances in …
movements, and ecology of a wide variety of marine mammal species. Advances in …
Cooperative robotic networks for underwater surveillance: an overview
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …
undersea manned vessels equipped with advanced sensor systems. This approach is often …
A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets
KE Frasier - PLoS Computational Biology, 2021 - journals.plos.org
Machine learning algorithms, including recent advances in deep learning, are promising for
tools for detection and classification of broadband high frequency signals in passive …
tools for detection and classification of broadband high frequency signals in passive …
[HTML][HTML] Marine health of the Arabian Gulf: Drivers of pollution and assessment approaches focusing on desalination activities
Abstract The Arabian Gulf is one of the most adversely affected marine environments
worldwide, which results from combined pollution drivers including climate change, oil and …
worldwide, which results from combined pollution drivers including climate change, oil and …
NOAA and BOEM minimum recommendations for use of passive acoustic listening systems in offshore wind energy development monitoring and mitigation programs
SM Van Parijs, K Baker, J Carduner, J Daly… - Frontiers in Marine …, 2021 - frontiersin.org
Offshore wind energy development is rapidly ramping up in United States (US) waters in
order to meet renewable energy goals. With a diverse suite of endangered large whale …
order to meet renewable energy goals. With a diverse suite of endangered large whale …
Review of automatic detection and classification techniques for cetacean vocalization
Cetaceans have elicited the attention of researchers in recent decades due to their
importance to the ecosystem and their economic values. They use sound for communication …
importance to the ecosystem and their economic values. They use sound for communication …
Applying artificial intelligence methods to detect and classify fish calls from the Northern Gulf of Mexico
EE Waddell, JH Rasmussen, A Širović - Journal of Marine Science and …, 2021 - mdpi.com
Passive acoustic monitoring is a method that is commonly used to collect long-term data on
soniferous animal presence and abundance. However, these large datasets require …
soniferous animal presence and abundance. However, these large datasets require …
[HTML][HTML] Performance metrics for marine mammal signal detection and classification
Automatic algorithms for the detection and classification of sound are essential to the
analysis of acoustic datasets with long duration. Metrics are needed to assess the …
analysis of acoustic datasets with long duration. Metrics are needed to assess the …