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Ditemukan 63 dari pencarian Anda melalui kata kunci: subject="Machine Learning"
Hal. Awal Sebelumnya 6 7
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
cover
Comparison of neural networks and k-nearest neighbors methods in forest stand…
Komentar Bagikan
Andras BalazsEero LiskiSakari TuominenAnnika Kangas

In the remote sensing of forests, point cloud data from airborne laser scanning contains high-value information for predicting the volume of growing stock and the size of trees. At the same time, laser scanning data allows a very high number of potential features that can be extracted from the point cloud data for predicting the forest variables. In some methods, the features are first extracte…

Edisi
Vol.4, April 2022
ISBN/ISSN
1872-8235
Deskripsi Fisik
17 hlm PDF, 13.215 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
Deep learning : modernisasi machine learning untuk big data
Komentar Bagikan
SuyantoKurniawan Nur RamadhaniSatria Mandala

Sejumlah perusahaan raksasa telah sukses membangun banyak aplikasi berbasis deep leraning (DL) yang inpresif, penuh keajaiban. Kesuksesan ini merupakan hasil kerja keras selama bertahun-tahun dalam membangun sistem-sistem berbasis DL, mulai dari gagasan, arsitektur model, teknik pembelajaran, hingga framework sampai dihasilkan performance yang mendekati, bahkan melebihi kemampuan manusia. Kons…

Edisi
-
ISBN/ISSN
978-623-7131-21-2
Deskripsi Fisik
xiv, 249 hlm. : 24 cm.
Judul Seri
-
No. Panggil
006.3 SUY d
Hal. Awal Sebelumnya 6 7