Publications by authors named "Terezia Slaninakova"
Article Synopsis
- Accurate retrieval of forest functional traits from remote sensing data is essential for assessing forest health and productivity, requiring a detailed database of spectral properties and corresponding traits.
- Existing datasets are often narrow in focus, hindering the ability to develop generalizable machine learning models for forest trait prediction.
- This study introduces a comprehensive high-resolution dataset of hyperspectral Look-Up Tables designed for Central European temperate broadleaf forests, featuring 3.5 million unique trait combinations that can be leveraged to enhance machine learning model training and improve remote sensing algorithms.
AlphaFind is a web-based search engine that provides fast structure-based retrieval in the entire set of AlphaFold DB structures. Unlike other protein processing tools, AlphaFind is focused entirely on tertiary structure, automatically extracting the main 3D features of each protein chain and using a machine learning model to find the most similar structures. This indexing approach and the 3D feature extraction method used by AlphaFind have both demonstrated remarkable scalability to large datasets as well as to large protein structures.
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