Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...
There is still limited regulatory convergence between IFRS 16 and IFRS 9. US GAAP requires more detailed examinations of net ...
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 ...