Výsledky vyhledávání - "MASSIVE DATA SETS"

Akademický článek

Learning Time Acceleration in Support Vector Regression: A Case Study in Educational Data Mining

Autor: Jonatha Sousa Pimentel, Raydonal Ospina, Anderson Ara

Publikováno v: Stats, Vol 4, Iss 3, Pp 682-700 (2021)

The development of a country involves directly investing in the education of its citizens. Learning analytics/educational data mining (LA/EDM) allows access to big observational structured/unstructured data captured from educational settings and reli

Externí odkaz: https://doaj.org/article/6621070cde504a809800316caf544936

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Akademický článek

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A Scalable AI Training Platform for Remote Sensing Data

Autor: Würz, Hendrik Martin, Kocon, Kevin, Pedretscher, Barbara, Klien, Eva, Eggeling, Eva

We present a platform to support the AI development lifecycle with focus on large data like remote sensing.We target developers who are not allowed to use existing commercial cloud platforms for legal reasons or data compliance. The flexible implemen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::343e3e111be565dc3b51c04636cf8d2d
https://agile-giss.copernicus.org/articles/4/53/2023/

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As good as human experts in detecting plant roots in minirhizotron images but efficient and reproducible: the convolutional neural network 'RootDetector'

Autor: Bo Peters, Gesche Blume-Werry, Alexander Gillert, Sarah Schwieger, Uwe Freiherr von Lukas, Juergen Kreyling

Publikováno v: Scientific Reports. 13

Plant roots influence many ecological and biogeochemical processes, such as carbon, water and nutrient cycling. Because of difficult accessibility, knowledge on plant root growth dynamics in field conditions, however, is fragmentary at best. Minirhiz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59f5d5b5d2cf0983c4f9b1cfdb32fbec
https://doi.org/10.1038/s41598-023-28400-x

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Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections

Autor: Gillert, Alexander, Resente, Giulia, Anadon-Rosell, Alba, Wilmking, Martin, Lukas, Uwe Freiherr Von

We address the problem of detecting tree rings in microscopy images of shrub cross sections. This can be regarded as a special case of the instance segmentation task with several unique challenges such as the concentric circular ring shape of the obj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca57602b01f59184b2b1733addabfe8

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BatNet: a deep learning-based tool for automated bat species identification from camera trap images

Autor: Krivek, Gabriella, Gillert, Alexander, Harder, Martin, Fritze, Marcus, Frankowski, Karina, Timm, Luisa, Meyer‐Olbersleben, Liska, Lukas, Uwe Freiherr von, Kerth, Gerald, Schaik, Jaap van

Automated monitoring technologies can increase the efficiency of ecological data collection and support data-driven conservation. Camera traps coupled with infrared light barriers can be used to monitor temperate-zone bat assemblages at underground h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______610::e979395d16ea11b526e6ceb0d7b0d314
https://publica.fraunhofer.de/handle/publica/442026

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