• Produktbild: Spatial Data and Intelligence
  • Produktbild: Spatial Data and Intelligence
Band 13887 - 13%

Spatial Data and Intelligence 4th International Conference, SpatialDI 2023, Nanchang, China, April 13–15, 2023, Proceedings

13% sparen

59,99 € UVP 69,54 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.05.2023

Herausgeber

Xiaofeng Meng + weitere

Verlag

Springer

Seitenzahl

272

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-32909-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.05.2023

Herausgeber

Verlag

Springer

Seitenzahl

272

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-32909-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Spatial Data and Intelligence
  • Produktbild: Spatial Data and Intelligence
  • Traffic Management.- APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for Traffic Flow Forecasting.- DeepParking: Deep Learning-based Planning Method for Autonomous Parking.- Recommendations for Urban Planning based on Non-motorized Travel Data and Street Comfort.- A Composite Grid Clustering Algorithm based on Density and Balance Degree.-  Visualization Analysis.- Research on the Visualization Method of Weibo User Sentiment Analysis based on IP Affiliation and Comment Content.- Village Web 3D Visualization System based on Cesium.-  Spatial Big Data Analysis.- Spatial-Aware Community Search over Heterogeneous Information Networks.- Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature.- CDGCN: An Effective and Efficient Algorithm based on Community Detection for Training Deep and Large Graph Convolutional Networks.- Investigate the Relationship between Traumatic Occurrencesand Socio-economic Status based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China.- Contact Query Processing based on Spatiotemporal Trajectory.- Influential Community Search over Large Heterogeneous Information Networks.- Spatiotemporal Data Mining.- Fast Mining Prevalent Co-location Patterns over Dense Spatial Datasets.- Continuous Sub-prevalent Co-location Pattern Mining.- The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model based on Migration Learning.- Spatiotemporal Data Storage.- A Comparative Study of Row and Column Storage for Time Series Data.- LOACR: A Cache Replacement Method Based on Loop Assist.-  Metaverse.- Unifying Reality and Virtuality: Constructing a Cohesive Metaverse Using Complex Numbers.