Estimates of malaria prevalence and intervention coverage in Africa are primarily based on nationally representative household (HH) surveys. However, the expense and infrequency limit the utility of ...
Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...
Abstract: Event cameras, when combined with inertial sensors, show significant potential for motion estimation in challenging scenarios, such as high-speed maneuvers and low-light environments. While ...
Lithium Battery Life Prediction for Electric Vehicles Using Enhanced TCN and SVN Quantile Regression
Abstract: The need for lithium battery life forecast algorithms has increased due to the global acceptance of electric vehicles. To further enhance the forecast’s precision and resilience about ...
Introduction Continuous glucose monitoring (CGM) provides real-time glucose data for people with diabetes. However, detailed knowledge of its use in daily life remains limited. We aim to investigate ...
The final, formatted version of the article will be published soon. Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an ...
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