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  • Produktbild: Spatial Data and Intelligence
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Band 13887

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

Aus der Reihe Lecture Notes in Computer Science

Fr. 93.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.05.2023

Abbildungen

X, 272 p. 142 illus., 95 illus. in color.

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

Abbildungen

X, 272 p. 142 illus., 95 illus. in color.

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: ProductSafety@springernature.com

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  • 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.