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A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation

Computers & geosciences, 2020-04, Vol.137, p.104430, Article 104430

2020

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Integrated expression and analysis of urban flood disaster events from the perspective of multi-spatial semantic fusion

International journal of applied earth observation and geoinformation, 2024-08, Vol.132, p.104032, Article 104032

2024

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A communication-efficient distributed deep learning remote sensing image change detection framework

International journal of applied earth observation and geoinformation, 2024-05, Vol.129, p.103840, Article 103840

2024

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Leveraging the power of multi-core platforms for large-scale geospatial data processing: Exemplified by generating DEM from massive LiDAR point clouds

Computers & geosciences, 2010-10, Vol.36 (10), p.1276-1282

2010

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ParaStream: A parallel streaming Delaunay triangulation algorithm for LiDAR points on multicore architectures

Computers & geosciences, 2011-09, Vol.37 (9), p.1355-1363

2011

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6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility

International journal of applied earth observation and geoinformation, 2023-09, Vol.123, p.103472, Article 103472

2023

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Browsing target extraction and spatiotemporal preference mining from the complex virtual trajectories

International journal of applied earth observation and geoinformation, 2024-05, Vol.129, p.103819, Article 103819

2024

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Model provenance tracking and inference for integrated environmental modelling

Environmental modelling & software : with environment data news, 2017-10, Vol.96, p.95-105

2017

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Multi-energy flow calculation in integrated energy system via topological graph attention convolutional network with transfer learning

Energy (Oxford), 2024-09, Vol.303, p.132018, Article 132018

2024

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Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision making

Computers & geosciences, 2011-04, Vol.37 (4), p.485-494

2011

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Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation

The Science of the total environment, 2020-06, Vol.722, p.137738-137738, Article 137738

2020

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Visualizing dynamic geosciences phenomena using an octree-based view-dependent LOD strategy within virtual globes

Computers & geosciences, 2011-09, Vol.37 (9), p.1295-1302

2011

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FAST: A fully asynchronous and status-tracking pattern for geoprocessing services orchestration

Computers & geosciences, 2014-09, Vol.70, p.213-228

2014

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A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images

ISPRS journal of photogrammetry and remote sensing, 2021-12, Vol.182, p.52-66

2021

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Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts

Computer methods and programs in biomedicine, 2023-05, Vol.233, p.107474-107474, Article 107474

2023

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HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting

Information sciences, 2024-09, Vol.679, p.120982, Article 120982

2024

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An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API

Environmental modelling & software : with environment data news, 2023-07, Vol.165, p.105722, Article 105722

2023

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A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction

Neurocomputing (Amsterdam), 2020-08, Vol.403, p.153-166

2020

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HGAT-VCA: Integrating high-order graph attention network with vector cellular automata for urban growth simulation

Computers, environment and urban systems, 2023-01, Vol.99, p.101900, Article 101900

2023

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GridMesa: A NoSQL-based big spatial data management system with an adaptive grid approximation model

Future generation computer systems, 2024-06, Vol.155, p.324-339

2024

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Two-stage voltage regulation in power distribution system using graph convolutional network-based deep reinforcement learning in real time

International journal of electrical power & energy systems, 2023-09, Vol.151, p.109158, Article 109158

2023

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Robust scientific text classification using prompt tuning based on data augmentation with L2 regularization

Information processing & management, 2024-01, Vol.61 (1), p.103531, Article 103531

2024

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WS4GEE: Enhancing geospatial web services and geoprocessing workflows by integrating the Google Earth Engine

Environmental modelling & software : with environment data news, 2023-03, Vol.161, p.105636, Article 105636

2023

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A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories

Transportation research. Part C, Emerging technologies, 2023-05, Vol.150, p.104088, Article 104088

2023

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Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models

Agricultural and forest meteorology, 2022-05, Vol.319 (C), p.108920, Article 108920

2022

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A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation

Integrated expression and analysis of urban flood disaster events from the perspective of multi-spatial semantic fusion

A communication-efficient distributed deep learning remote sensing image change detection framework

Leveraging the power of multi-core platforms for large-scale geospatial data processing: Exemplified by generating DEM from massive LiDAR point clouds

ParaStream: A parallel streaming Delaunay triangulation algorithm for LiDAR points on multicore architectures

6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility

Browsing target extraction and spatiotemporal preference mining from the complex virtual trajectories

Model provenance tracking and inference for integrated environmental modelling

Multi-energy flow calculation in integrated energy system via topological graph attention convolutional network with transfer learning

Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision making

Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation

Visualizing dynamic geosciences phenomena using an octree-based view-dependent LOD strategy within virtual globes

FAST: A fully asynchronous and status-tracking pattern for geoprocessing services orchestration

A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images

Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts

HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting

An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API

A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction

HGAT-VCA: Integrating high-order graph attention network with vector cellular automata for urban growth simulation

GridMesa: A NoSQL-based big spatial data management system with an adaptive grid approximation model

Two-stage voltage regulation in power distribution system using graph convolutional network-based deep reinforcement learning in real time

Robust scientific text classification using prompt tuning based on data augmentation with L2 regularization

WS4GEE: Enhancing geospatial web services and geoprocessing workflows by integrating the Google Earth Engine

A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories

Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models

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