Sourcing Journal on MSN

AI rewrites the playbook for reverse logistics

To protect margins and restore control, retailers are increasingly turning to artificial intelligence to guide decisions ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
IEEE

Reducing Unnecessary Handovers Using Logistic Regression in 5G Networks

Abstract: The evolution of wireless communication has brought great benefits to society, such as multi-connectivity, increased connection speed, low latency, and elevated throughput. However, it has ...
United States Army

Sustainment Proactivity: Using Data-Centric C2 to Predict Convoy Failures

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...