Preprints
Filtering by Subject: Databases and Information Systems
GhostNetZero: AI for Detecting Marine Ghost Nets
Published: 2025-09-23
Subjects: Artificial Intelligence and Robotics, Biodiversity, Databases and Information Systems, Environmental Monitoring, Marine Biology, Research Methods in Life Sciences, Sustainability
Abandoned, lost, or otherwise discarded fishing gears (ALDFG), commonly referred to as ghost nets, pose a persistent global threat to marine biodiversity. Constructed from durable synthetic polymers, ghost nets remain intact for decades, continuing to entangle and kill marine organisms while damaging habitats and imposing economic burdens on fisheries and coastal communities. Despite their [...]
Japanese mayfly family classification with a vision transformer model
Published: 2024-02-10
Subjects: Aquaculture and Fisheries Life Sciences, Artificial Intelligence and Robotics, Biodiversity, Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Engineering, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Terrestrial and Aquatic Ecology
Benthic macroinvertebrates are a frequently used indicator group for biomonitoring and biological assessment of river ecosystems. However, their taxonomic identification is laborious and requires special expertise. In this study, we aimed to assess the capability of a vision transformer (ViT) model for family-level identification of mayflies (order Ephemeroptera). Specifically, we focused on [...]
Phyloreferences: Tree-Native, Reproducible, and Machine-Interpretable Taxon Concepts
Published: 2021-03-06
Subjects: Biodiversity, Bioinformatics, Computer Sciences, Databases and Information Systems, Ecology and Evolutionary Biology, Engineering, Life Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics, Software Engineering
Evolutionary and organismal biology have become inundated with data. At the same rate, we are experiencing a surge in broader evolutionary and ecological syntheses for which tree-thinking is the staple for a variety of post-tree analyses. To fully take advantage of this wealth of data to discover and understand large-scale evolutionary and ecological patterns, computational data integration, i.e. [...]