Objectives To assess the impact of comprehensive tobacco control policies on maternal smoking during pregnancy and perinatal ...

Specifically, the 'LimiX' large model supports up to 10 types of tasks, including classification, regression, high-dimensional representation extraction, and causal inference. In scenarios such as ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

Objectives To describe training loads and injury incidences, and explore their relationship in senior schoolboy rugby players in Leinster, Ireland.Methods Prospective cohort study conducted during the ...

Every release requires a full day of regression testing, driving the developers crazy.” Full regression testing is costly and ...

Background The specific relationship between different blood pressure measures and the risk of aortic aneurysms (AA) remains ...

Abstract This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, K ...

Background Myocarditis is a global epidemic that causes various medical conditions associated with an increased incidence and ...

In recent years, the proliferation of data and sensor measurements in various scientific fields, particularly within the realm of the Internet of Things, has opened new avenues for knowledge ...

ML based productivity loss by prediciton! This project explores how social media usage impacts productivity and provides a predictive model to assess productivity loss. It combines data exploration, ...

It enables the joint learning of regression and classification tasks and facilitates unbiased joint feature selection through a provable loss weighting scheme. Its potential applications span various ...