Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts
Traffic prediction is a crucial task in the Intelligent Transportation System (ITS), receiving
significant attention from both industry and academia. Numerous spatio-temporal graph …
significant attention from both industry and academia. Numerous spatio-temporal graph …
[HTML][HTML] Pano2Geo: An efficient and robust building height estimation model using street-view panoramas
Building height serves as a crucial parameter in characterizing urban vertical structure,
which has a profound impact on urban sustainable development. The emergence of street …
which has a profound impact on urban sustainable development. The emergence of street …
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction
In logistics service, the delivery timely rate is a key experience indicator, which is highly
essential to the competitive advantage of express companies. Prediction on it enables …
essential to the competitive advantage of express companies. Prediction on it enables …
An Urban Built Environment Analysis Approach for Street View Images Based on Graph Convolutional Neural Networks
C Liu, Y Wang, W Li, L Tao, S Hu, M Hao - Applied Sciences, 2024 - mdpi.com
Traditionally, research in the field of traffic safety has predominantly focused on two key
areas—the identification of traffic black spots and the analysis of accident causation …
areas—the identification of traffic black spots and the analysis of accident causation …
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery
Built environment supports all the daily activities and shapes our health. Leveraging
informative street view imagery, previous research has established the profound correlation …
informative street view imagery, previous research has established the profound correlation …
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Accurately estimating package delivery time is essential to the logistics industry, which
enables reasonable work allocation and on-time service guarantee. This becomes even …
enables reasonable work allocation and on-time service guarantee. This becomes even …
Sensing Urban Physical Environment with GeoAI and Street-Level Imagery
Understanding and effectively managing urban spaces hinges upon the vital practice of
sensing urban physical environments. It not only aids urban researchers in uncovering …
sensing urban physical environments. It not only aids urban researchers in uncovering …