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Ditemukan 3 dari pencarian Anda melalui kata kunci: subject="Anomaly detection"
cover
Artificial intelligence-based anomaly detection of the Assen iron deposit in …
Komentar Bagikan
Steven E. ZhangGlen T. NwailaJulie E. BourdeauYousef GhorbaniEmmanuel John M. Carranza

Most known mineral deposits were discovered by accident using expensive, time-consuming, and knowledge-based methods such as stream sediment geochemical data, diamond drilling, reconnaissance geochemical and geophysical surveys, and/or remote sensing. Recent years have seen a decrease in the number of newly discovered mineral deposits and a rise in demand for critical raw materials, prompting e…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
15 hlm PDF, 14.623 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
cover
Machine learning-based prediction of trace element concentrations using data …
Komentar Bagikan
Steven E. ZhangGlen T. NwailaJulie E. BourdeauLewis D. Ashwal

In this study, we present a machine learning-based method to predict trace element concentrations from major and minor element concentration data using a legacy lithogeochemical database of magmatic rocks from the Karoo large igneous province (Gondwana Supercontinent). Wedemonstrate that a variety of trace elements, including most of the lanthanides, chalcophile, lithophile, and siderophile ele…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
16 hlm PDF, 3.494 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
cover
Detection of anomalous vehicle trajectories using federated learning
Komentar Bagikan
Monika SesterChristian KoetsierJelena FiosinaJan N. GremmelJorg P. MüllerDavid M. Woisetschlager

Nowadays mobile positioning devices, such as global navigation satellite systems (GNSS) but also external sensor technology like cameras allow an efficient online collection of trajectories, which reflect the behavior of moving objects, such as cars. The data can be used for various applications, e.g., traffic planning or updating maps, which need many trajectories to extract and infer the desi…

Edisi
Vol.4, April 2022
ISBN/ISSN
1872-8235
Deskripsi Fisik
12 hlm PDF, 3.981 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678