Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Abstract: Sparse mobile crowdsensing, driven by the increasing ubiquity of smartphones, has emerged as a popular method for data collection. This approach can reconstruct the whole sensing map by ...

Abstract: The complex spatial-temporal correlations in transportation networks make the traffic forecasting problem challenging. Since transportation system inherently possesses graph structures, many ...

Public input identifying over 100 million trail cameras photos of Wisconsin’s animals has transformed science education and ...

DAAAM enhances autonomous systems' spatiotemporal capabilities by integrating real-time 4D scene graphs with rich language ...

A robot on a factory floor can carry parts, scan shelves, and move around people with growing skill. What it still struggles ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Upscaling is actually making your handheld feel worse.

Australian and regional rainfall timeseries are available from 1900 for annual, financial year, seasonal and monthly rainfall, as well as for the southern (April–November) and northern (October–April) ...