Route selection for opportunity-sensing and prediction of waterlogging

Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence

CrowdBot: An Open-Environment Robot Management System for On-Campus Services

LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game

STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic

ConTIG: Continuous representation learning on temporal interaction graphs

Advancing safe mobility: A global analysis of research trends in safe route planning

Active 3D Mapping Leveraging Heterogeneous Crowd Robot based-on Reinforcement Learning

CrowdQ:Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

A Data-Driven Context-Aware Health Inference System for Children during School Closures

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

Mining High-Value Patents Leveraging Massive Patent Data

ROV Simulation Developed In Physics Engine

Traffic Simulator: A Traffic Risk Hotspot Identification Platform

A Natural Semantic Task Understanding and Scheduling System for Crowd Robots

Crowd OS Powered Active 3D Mapping Leveraging Heterogeneous Crowd Robots

Sensing Road Obstacles After Natural Disasters: A Survey

A Machine Learning-Based Risk Prediction Model for Post-Traumatic Stress Disorder during the COVID-19 Pandemic

Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation

Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities

Dynamic road crime risk prediction with urban open data

RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing Systems

GoComfort: Comfortable Navigation for Autonomous Vehicles Leveraging High-Precision Road Damage Crowdsensing

Risk detection of clinical medication based on knowledge graph reasoning

PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data

Wildfire Detection and Burned Area Estimation Based on Multi-source Spatial Data

iTA: Inferring Traffic Accident Hotspots with Vehicle Trajectories and Road Environment Data

Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data

Predicting the spread of COVID-19 in China with human mobility data

Fog radio access network optimization for 5G leveraging user mobility and traffic data

iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data

ESCORT: Fine-Grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data

UVLens: Urban Village Boundary Identification and Population Estimation Leveraging Open Government Data

Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users

Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data

DRFM Jamming Mode Identification Leveraging Deep Neural Networks

CovidPass: A Contactless Check-in System for Keeping Social Distance in Public Health Crisis

Indoor 3D Human Trajectory Reconstruction Using Surveillance Camera Videos and Point Clouds

Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data

DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

Urban traffic flow prediction algorithm based on graph convolutional neural networks

Forecasting Price Trend of Bulk Commodities Leveraging Cross-domain Open Data Fusion

The Progress of Human Pose Estimation: A Survey and Taxonomy of Models Applied in 2D Human Pose Estimation

Urban Village Identification from City-Wide Satellite Images Leveraging Mask R-CNN

GMTL: A GART based multi-task learning model for multi-social-temporal prediction in online games

Identifying urban villages from city-wide satellite imagery leveraging mask r-Cnn

BikeNet: Accurate bike demand prediction using graph neural networks for station rebalancing

Sensing Urban Structures and Crowd Dynamics with Mobility Big Data

Dosage Prediction in Pediatric Medication Leveraging Prescription Big Data

Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization

CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data

RADAR: Road Obstacle Identification for Disaster Response Leveraging Cross-Domain Urban Data

Unlicensed Taxis Detection Service Based on Large-Scale Vehicles Mobility Data