Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...
The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
Objectives To examine if early adoption into a family with favourable home environment conditions reduces long term ...
Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...
Background The high prevalence of atrial fibrillation (AF) and its association with cardiovascular (CV) outcomes represent a ...
Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...
EY's Joe Depa says he sees a split in staff. There's "high adoption, right out of the gate" for juniors but senior workers "are somewhat resistant." ...
This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...
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