Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...
Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation
This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...
Background Sudden cardiac death (SCD) is a common cause of cardiovascular mortality, often triggered by ventricular ...
Introduction Although poor mental health among young people has been increasing in the past decades, many young people are reluctant to use traditional mental healthcare. To cater to the needs of ...
Here’s a playbook for building monitoring systems, workflows, and coordination to help keep your enterprise sites healthy ...
Abstract: During hemodialysis, real-time monitoring of patients’ dialysis adequacy on hemodialysis machines can prevent complications and improve the long-term survival rate of patients. However, ...
Abstract: Next Generation Reservoir Computing (NGRC) has demonstrated strong potential in hardware-based machine learning applications, leveraging RRAM for efficient feature vector generation. However ...
AIM: In order to determine the reliability between two of these methodologically different method, this study evaluated the systematic and random errors of the method proposed by Tanaka and Johnston, ...
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