Spatial Data and Intelligence

5th China Conference, SpatialDI 2024, Nanjing, China, April 25–27, 2024, Proceedings

Häftad, Engelska, 2024

AvXiaofeng Meng,Xueying Zhang,Danhuai Guo,Di Hu,Bolong Zheng,Chunju Zhang

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They were organized in topical sections as follows: Spatiotemporal Data Analysis, Spatiotemporal Data Mining, Spatiotemporal Data Prediction, Remote Sensing Data Classification and Applications of Spatiotemporal Data Mining.

Produktinformation

Utgivningsdatum2024-05-01
Mått155 x 235 x 21 mm
Vikt563 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor358
FörlagSpringer Verlag, Singapore
ISBN9789819729654

Tillhör följande kategorier

.- Spatiotemporal Data Analysis. .- Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-en-coders. .- Cloud-Edge Collaborative Continual Adaptation for ITS Object Detection. .- Understanding Spatial Dependency among Spatial Interactions. .- An Improved DBSCAN Clustering Method for AIS Trajectories Incorporating DP Compression and Discrete Fréchet Distance. .- Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks. .- Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid. .- Applying Segment Anything Model to Ground-Based Video Surveillance for Identify-ing Aquatic Plant. .- Spatiotemporal Data Mining. .- Mining Regional High Utility Co-location Pattern. .- Local Co-location Pattern Mining Based on Regional Embedding. .- RCPM_RLM: A Regional Co-location Pattern Mining Method Based on Representa-tion Learning Model. .- Construction of a Large-Scale Maritime Elements Semantic Schema Based on Hetero-geneous Graph Models. .- OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection For Argo Data. .- RGCNdist2vec: Using Graph Convolutional Networks and Distance2Vector to Esti-mate Shortest Path Distance along Road Networks. .- Self-supervised Graph Neural Network based Community Search over Heterogeneous Information Networks. .- Measurement and Research on the Conflict between Residential Space and Tourism Space in Pianyan Ancient Township. .- Spatiotemporal Data Prediction. .- Spatio-Temporal Sequence Prediction Of Diversion Tunnel Based On Machine Learn-ing Multivariate Data Fusion. .- DyAdapTransformer: Dynamic Adaptive Spatial-Temporal Graph Transformer for Traffic Prediction. .- Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model. .- Remote Sensing Data Classification. .- MADB-RemdNet for Few-Shot Learning in Remote Sensing Classification. .- Convolutional Neural Network Based on Multiple Attention Mechanisms for Hyper-spectral and LiDAR Classification. .- Few-shot Learning Remote Scene Classification Based On DC-2DEC. .- Applications of Spatiotemporal Data Mining. .- Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Au-tonomous Vehicles. .- Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features. .- HPO-LGBM-DRI: Dynamic Recognition Interval Estimation for Imbalanced Fraud Call via HPO-LGBM. .- A Review on Urban Modelling for Future Smart Cities.