Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...
Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...
ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...
Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive cyberattack crippled certain systems for weeks. The policy announced Wednesday ...
Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...
Abstract: With the continuous development of deep learning technology, polarimetric synthetic aperture radar (PolSAR) image interpretation based on deep learning methods has been proved to have better ...
CHICAGO — Dirty data is a problem with enormous costs for libraries and other knowledge organizations, both monetarily and in terms of wasted staff labor. Published by Facet Publishing and available ...
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