Abstract: Noise suppression for seismic data can meliorate the quality of many subsequent geophysical tasks. In this work, we propose a novel self-supervised learning method, the deep nonlocal ...

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...

Abstract: Floods are One of the most devastating natural disasters and hence require immediate mitigating mechanism. This work begins by exploring the use of crowdsourced data for flood mitigation, ...

Lilongwe Rural has recorded a high voter turnout of 68.9%, according to data tallying from the Malawi Electoral Commission (MEC) database, a figure independently validated by European Union (EU) ...

Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer During a median follow-up ...