Abstract: The compact genetic algorithm (cGA) is one of the simplest estimation-of-distribution algorithms (EDAs). Next to the univariate marginal distribution algorithm (UMDA)– another simple EDA–, ...

This project focuses on simulating network traffic and optimizing bandwidth allocation using the Edmonds-Karp algorithm—a variant of the Ford-Fulkerson method leveraging breadth-first search (BFS) to ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Lack of reproducibility has been a constant plague for genome-wide association studies (GWASs). GWAS must be carefully designed and carried out to avoid the myriad of pitfalls that can introduce type ...

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Background Accurate pre-ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access ...