Objectives Para athletes may face unique challenges in the anti-doping system, including issues of privacy, implementation, ...
MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.
Working through years’ worth of data from an old observational campaign, a team of astronomers have directly imaged a new ...
Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
New measurements using gravitational lensing suggest the universe’s current expansion rate does not agree with signals from ...
Abstract: Cyber-attacks, especially the false data injection attack (FDIA), are gradually becoming a common way to threaten the regular operation of power grid. However, the FDIA is challenging to ...
Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available ...
Training deep learning models on petabyte-scale Earth observation (EO) data requires separating compute resources from data storage. However, standard PyTorch data loaders cannot keep modern GPUs ...
Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...
A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer ...
Abstract: Multi-sensor data has become a foundation of Earth Observation (EO) research, offering models with enhanced accuracy via optimal fusion strategies. However, the unavailability of sensor data ...
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