This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Objective: This study aims to investigate the current status and influencing factors of spiritual care needs among liver cancer patients. Using the Chinese version of th ...

PCA efficiently identifies key variables, optimizing resource allocation and saving time and costs. Young plants efficiently give information for the identification of promising variables for the ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Objectives This study aimed to investigate the knowledge, attitudes and practices (KAP) of patients with urinary calculi in China, where prior KAP research on this condition is lacking. Design A cross ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Context Blood flow-restricted resistance exercise (BFR-RE) is used to elicit hypertrophy and strength adaptations with low external loads, making it attractive for clinical and rehabilitative ...

Limited remote, continuous measurement and poor instrument/software interconnectivity impede manufacturing management (enterprise) system deployment and restrict the use of analytical results for real ...

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

Background Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency with evolving demographics and management strategies, particularly in medical/endoscopic therapy and transfusion ...