[HTML][HTML] Adoption of machine learning techniques in ecology and earth science
A Thessen - One Ecosystem, 2016 - oneecosystem.pensoft.net
Background The natural sciences, such as ecology and earth science, study complex
interactions between biotic and abiotic systems in order to understand and make …
interactions between biotic and abiotic systems in order to understand and make …
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
MS Seyfioğlu, AM Özbayoğlu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Radar-based activity recognition is a problem that has been of great interest due to
applications such as border control and security, pedestrian identification for automotive …
applications such as border control and security, pedestrian identification for automotive …
Methods to quantify avian airspace use in relation to wind energy development
N Largey, ASCP Cook, CB Thaxter, A McCluskie… - Ibis, 2021 - Wiley Online Library
It is likely that there will continue to be a substantial increase in the number of wind turbines
as we aim to meet global energy demands through renewable sources. However, these …
as we aim to meet global energy demands through renewable sources. However, these …
Application of machine learning to model wetland inundation patterns across a large semiarid floodplain
Inundation is a primary driver of floodplain ecology. Understanding temporal and spatial
variability of inundation patterns is critical for optimum resource management, particularly in …
variability of inundation patterns is critical for optimum resource management, particularly in …
BATScan: A radar classification tool reveals large‐scale bat migration patterns
Bat movement and behaviour are still mostly understudied over large scales. High‐altitude,
nocturnal activity makes visual identification of bats from the ground virtually impossible …
nocturnal activity makes visual identification of bats from the ground virtually impossible …
Adaptable monitoring package development and deployment: Lessons learned for integrated instrumentation at marine energy sites
Integrated instrumentation packages are an attractive option for environmental and
ecological monitoring at marine energy sites, as they can support a range of sensors in a …
ecological monitoring at marine energy sites, as they can support a range of sensors in a …
[HTML][HTML] Automatic classification of biological targets in a tidal channel using a multibeam sonar
Copping, A., and Coauthors, 2016: Annex IV 2016 state of the science report: Environmental
effects of marine renewable energy development around the world. Pacific Northwest …
effects of marine renewable energy development around the world. Pacific Northwest …
Quantitative ornithology with a commercial marine radar: standard‐target calibration, target detection and tracking, and measurement of echoes from individuals and …
Marine surveillance radars are commonly used for radar ornithology, but they are rarely
calibrated. This prevents them from measuring the radar cross‐sections (RCS) of the birds …
calibrated. This prevents them from measuring the radar cross‐sections (RCS) of the birds …
[PDF][PDF] Automating bird detection based on webcam captured images using deep learning
One of the most challenging problems faced by ecologists and other biological researchers
today is to analyze the massive amounts of data being collected by advanced monitoring …
today is to analyze the massive amounts of data being collected by advanced monitoring …
[HTML][HTML] Animal migration patterns extraction based on atrous-gated CNN deep learning model
Weather radar data can capture large-scale bird migration information, helping solve a
series of migratory ecological problems. However, extracting and identifying bird information …
series of migratory ecological problems. However, extracting and identifying bird information …