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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-14882-4
Abstract: Fisheries have major ecological impacts including bycatch of foraging seabirds, but it is often difficult to obtain comprehensive information on the presence of fishing vessels. Automatic Identification System (AIS) data can be used to monitor…
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Keywords:
accounting individual;
fisheries albatross;
predicting fisheries;
albatross movements ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3195858
Abstract: Prediction of elastic parameters (e.g., P-, S-wave velocity, and density) from observed seismic data is one of the most common means of reservoir characterization. Recently, deep learning (DL), as a data-driven approach, has been attracting…
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Keywords:
inversion;
seismic inversion;
training dataset;
data driven ... See more keywords
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Published in 2023 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.28.3.036501
Abstract: Significance Machine learning (ML) models based on deep convolutional neural networks have been used to significantly increase microscopy resolution, speed (signal-to-noise ratio), and data interpretation. The bottleneck in developing effective ML systems is often the…
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Keywords:
microscopy;
super resolution;
training dataset;
denseed blocks ... See more keywords
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Published in 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.2.023063
Abstract: Abstract. Color filter arrays (CFA) are optical filters in digital cameras that facilitate capturing specific color channels by silicon sensors. Current commercial CFAs are hand-crafted patterns that are not necessarily optimal. We propose to learn…
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Keywords:
cfa;
dream cfa;
color filter;
training dataset ... See more keywords