A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Abstract: Detecting credit card fraud is a critical challenge in the modern financial landscape, where robust and efficient solutions are essential to mitigate losses and safeguard consumers. This ...
General view of the Quezon City Monument taken on August 19, 2025. (Photo by Edd Castro) Quezon City has been named one of 72 newly designated members of the United Nations Educational, Scientific and ...
Over the last several decades urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods. The ...
Abstract: Compressive sensing (CS) algorithms have demonstrated superior direction-of-arrival (DoA) estimation accuracy in the low signal-to-noise ratio (SNR) regime by exploiting inherent angular ...
Bayesian random-effects NMAs estimated odds ratios (ORs) with 95% credible intervals (CrIs), complementary frequentist NMAs provided 95% confidence intervals and 95% prediction intervals. Results: ...
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