FS-RSDD: FEW-SHOT RAIL SURFACE DEFECT DETECTION WITH PROTOTYPE LEARNING



Analyzing the Spatiotemporal Patterns in Green Spaces for Urban Studies Using Location-Based Social Media Data

Green parks are vital public spaces and play a major role in urban living and well-being.Research on the attractiveness of green parks often relies on traditional techniques, such as questionnaires and woodford reserve 5 malt stouted mash for sale in-situ surveys, but these methods are typically insignificant in scale, time-consuming, and expensive

read more

Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework

In the realm of geospatial services and applications, the accuracy of address information is of utmost importance.Traditional methods of data collection, being both labor-intensive and costly, have prompted researchers to turn to Volunteered Geographic Information (VGI) for the extraction of Geographical Named Entity (GNE).Notwithstanding, prior st

read more