GitHub

Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs

To cite the contents of this repository, please cite both the paper and the INFORMS Journal on Computing GitHub repo, using their respective DOIs.
IEEE

Analysis of Channel Codes using Machine Learning for FSO Communication System

Abstract: Perfect channel estimate is not a recommended communication method since it is exceedingly difficult, costly, and time/power intensive. The goal of this work is to find a novel, low-cost, ...
ahajournals.org

Claims‐Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...
C&EN

Machine Learning-Enhanced Analysis of miRNA Biomarkers for Accurate Breast Cancer Diagnosis Using DNA Seagrass

Department of Laboratory Medicine, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Core Unit of National Clinical Research ...
IEEE

Learning to Decode Double Polar Codes for Joint Source-Channel Coding

Abstract: In this paper, a neural belief propagation decoder of double polar codes for joint source-channel coding (JSCC) is proposed. In the decoder, a residual structure is designed to establish ...