The extent and speed of ice moving off the ice sheets of Greenland and Antarctica into the sea—an important dynamic for ...

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

The updated World Geocoding Service improves how addresses are matched to physical locations by using refined, authoritative datasets. This includes better handling of complex address formats, ...

A research team led by Prof. Liu Liangyun from the Aerospace Information Research Institute of the Chinese Academy of ...

Positioned at the centre of Southern Africa’s transport network, Limpopo carries a constant flow of traffic along key routes such as the N1, R71 and R37. These corridors are vital for linking ...

We extend conventional residual connection from the model level to the data level area, and present for the first time a simple yet effective, theoretically grounded residual connection design for ...

The last full trading week of 2025 was a rocky one, but it looks to end on a positive note – just like the year itself – as central bankers, deal makers and some head-scratching U.S. inflation data ...

Abstract: The rise of Virtual Reality has highlighted eye gaze as a key interaction method. Data reliability becomes critical in this context, with gaze accuracy and precision serving as leading ...

Here’s a shocker — if you give businesses more time to respond to a survey, chances are you’ll get more data back in return. That’s exactly what transpired in the latest US jobs data from the Bureau ...

Abstract: This letter presented a fast and accurate spatial finite-difference temporal differential (SFDTD) method for time-domain electromagnetic modeling. First, the eigenmode analysis reveals that ...