IEEE

Machine Learning Approach for Automatic Weld Defect Detection Using Radiographic Images

Abstract: Radiographic images of weld beads are important to inspect subsurface weld defects for safety assurance. The diversified problems associated with the human analysis of radiographic images of ...
Journal of Medical Internet Research

Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review

Currently, Machine Learning Operations (MLOps), a set of practices designed to deploy and maintain ML models in production, is used in various information technology and industrial settings. However, ...
IEEE

Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...