The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
As organizations race to operationalize AI agents across critical workflows, performance alone is no longer enough--enterprises must also understand, validate, and govern how those systems arrive at ...
From coral reefs and kelp forests to the open ocean and deep-sea zones, nutrients that support phytoplankton growth and ...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Abstract: Beamspace channel estimation is crucial for unlocking the potential of millimeter-wave (mmWave) communications in low Earth orbit (LEO) satellite networks. Effective channel estimation ...
Insomnia disorder (ID) is neurobiologically heterogeneous and often eludes characterization by traditional group-level neuroimaging. Subtyping based on neuroimaging and clinical data offers a ...
Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...
Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
Wicked: For Good concludes the tale of doomed friendship between Elphaba (Cynthia Erivo) and Glinda (Ariana Grande), turning to a new page in the Grimmerie as the story ends. The film is an ...
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