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2121

Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis

by Yang, Lei, Lin, Lina, Fan, Long, Liu, Na, Huang, Lingyong, Xu, Yongsheng, Mertikas, Stelios P., Jia, Yongjun, Lin, Mingsen
Published in Remote Sensing (2022)
“..., GNSS-reflectometry, laser altimetry, terrestrial hydrology, and deep learning are among the most...”

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2122

A Textural Approach to Improving Snow Depth Estimates in the Weddell Sea

by M. Jeffrey Mei, Ted Maksym
Published in Remote Sensing (2020)
“... deep learning techniques, and that the learned filters are comparable to standard textural analysis...”

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Select result number 2123
2123

EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models - Part 2: Model application to different datasets

by Quinting, Julian F., Grams, Christian M., Oertel, Annika, Pickl, Moritz
Published 2022
“... simulation with the ICOsahedral Nonhydrostatic (ICON) NWP model. Our study illustrates that deep learning...”

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2124

Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery

by Gourmelon, Nora, Seehaus, Thorsten, Braun, Matthias, Maier, Andreas, Christlein, Vincent
Published in Earth System Science Data (2022)
“... samples, making it large enough to train deep learning segmentation models. It is the first dataset...”

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2125

Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica

by Riel, B., Minchew, B., Bischoff, T.
Published in Journal of Advances in Modeling Earth Systems (2021)
“... (or “sliding law”) whose proper form remains uncertain. Here, we present a novel deep learning-based framework...”

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Select result number 2126
2126

Image_4_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2127

Image_1_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2128

Image_2_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2129

Image_3_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2130

Data_Sheet_1_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.pdf

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2131

Image_4_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2132

Data_Sheet_1_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.pdf

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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Dataset
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2133

Image_1_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2134

Image_2_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2135

Image_3_A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset.JPEG

by Ann N. Allen (6313358), Matt Harvey (672827), Lauren Harrell (10316123), Aren Jansen (10316126), Karlina P. Merkens (6404561), Carrie C. Wall (10316129), Julie Cattiau (10316132), Erin M. Oleson (8070218)
Published 2021
“... annotations are rare. These results validate the feasibility of applying deep learning models to identify...”

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2136

Classification of Video Observation Data for Volcanic Activity Monitoring Using Computer Vision and Modern Neural NetWorks (on Klyuchevskoy Volcano Example)

by Sergey Korolev, Aleksei Sorokin, Igor Urmanov, Aleksandr Kamaev, Olga Girina
Published in Remote Sensing (2021)
“... of images with documented eruptions allow us to use modern deep learning technologies for whole frame...”

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2137

Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory

by Osterloff, J., Nilssen, I., Järnegren, J., van Engeland, T., Buhl-Mortensen, P., Nattkemper, T.W.
Published in Scientific Reports (2019)
“... to November 2015. Image processing and deep learning enabled extraction of time series describing changes...”

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2138

Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory.

by Osterloff, Jonas, Nilssen, Ingunn, Jarnegren, Johanna, Van Engeland, Tom, Buhl-Mortensen, Pal, Nattkemper, Tim Wilhelm
Published in Scientific Reports (2019)
“...) reef in the Lofoten-Vesteralen area from April to November 2015. Image processing and deep learning...”

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Article in Journal/Newspaper
Select result number 2139
2139

Convolutional Neural Network Based Automatic Bird Identification and Monitoring System for Offshore Wind Farms

by Niemi, Juha
Published 2020
“..., and a convolutional neural network model trained on the images using a deep learning algorithm for image...”

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Doctoral or Postdoctoral Thesis
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2140

Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory

by Osterloff, J., Nilssen, I., Järnegren, J., van Engeland, T., Buhl-Mortensen, P., Nattkemper, T.W.
Published in Scientific Reports (2019)
“... to November 2015. Image processing and deep learning enabled extraction of time series describing changes...”

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Article in Journal/Newspaper