BFW Literaturdatenbank | Ergebnisse

[ChangeLanguage]

English

Literaturdatenbank

Aktionen

Bibliothekskatalog
Schlagwort: Maschinelles Lernen

13 Treffer

1

2963
A new approach for the classification of ground points from airborne LiDAR data in forested areas
Zümrüt Kutulgu; Pirti Atınç

Add to selection

18573BU
Atlas der KI : die materielle Wahrheit hinter den neuen Datenimperien
Kate Crawford

Add to selection

9716
Att-Mask R-CNN: an individual tree crown instance segmentation method based on fused attention mechanism
Wenjing Chen; Zhihao Guan; Demin Gao

Add to selection

18058BU
Deep learning
Ian Goodfellow; Yoshua Bengio; Aaron Courville

Add to selection

17416
Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies
John D Kelleher; Brian MacNamee; Aoife D'Arcy

Add to selection

629
Hochauflösende Bodenkarten für den Schweizer Wald
Andri Baltensweiler; Lorenz Walthert; Stephan Zimmermann; Madlene Nussbaum

Add to selection

12959S
Long-term variations in the ratio of transpiration to evapotranspiration and their drivers in a humid subalpine forest
Yuhao Xiang; Genxu Wang; Arthur Gessler; Xiangyang Sun; Shan Lin; Zishu Tang; Shouqin Sun; Zhaoyong Hu

Add to selection

13141S
A machine-learning approach for estimating the snow avalanche danger level and avalanche activity Christine Schönberger and Reinhard Fromm
Christine Schönberger; Reinhard Fromm

Add to selection

13255S
Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
Adriaan L. Van Natijne; Thom A. Bogaard; Thomas Zieher; Jan Pfeiffer; Roderik C. Lindenbergh; European Geosciences Union

Add to selection

18394BU
Mapping standing dead trees and tree species diversity using spaceborne remote sensing imagery. Dissertation
Xiang Liu

Add to selection

8632
Untersuchungen zum Potenzial maschineller Lernverfahren für die hydrologische Simulation und Vorhersage am Beispiel von LSTM und LARSIM in Baden-Württemberg
Orhan D. Tanrikulu; Uwe Ehret; Ingo Haag; Ralf Loritz; Ute Badde

Add to selection

638
Using machine learning algorithms to cluster and classify stone pine (Pinus pinea L.) populations based on seed and seedling characteristics
Servet Caliskan; Elif Kartal; Safa Belekoglu

Add to selection

16995
Wenn die Maschine lernt, die Lawinengefahr vorherzusagen

Add to selection

1