Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Automated three-stage analysis pipeline sifts out whale calls from terabytes of distributed acoustic sensing data.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Previously developed systems for the automated assessment of speaking proficiency focus on limited assessment criteria. However, the use of a novel multimodal spoken English evaluation dataset, ...

Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...

Introduction: This study aimed to develop machine learning models to predict neurological outcomes in patients with degenerative cervical myelopathy (DCM) after surgical decompression and identify key ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the flood season has become increasingly critical. A recent study has employed ...

ABSTRACT: In order to reduce the risk of non-performing loans, losses, and improve the loan approval efficiency, it is necessary to establish an intelligent loan risk and approval prediction system. A ...