These methods hold out a small amount of training data, called validation data, and use it to assess the accuracy of the predictor. To find the root of the problem, they conducted a thorough analysis ...

The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...

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.

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Imagine a world where you can track the precise location of an object or person in real time, even in the most complex environments. With the rise of ultra-wideband (UWB) technology, this is no longer ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Debuting Next-Gen Robotics Powering Precise Indoor-Outdoor Navigation, Geomagnetic Mapping, and Real-Time Tracking ...