This article discusses the use of a constrained machine learning model to accurately predict water droplet size distribution in crude oil, which is crucial…
Browsing: Genetic Algorithm
Researchers have developed a machine learning-based heart disease prediction model that uses various combinations of information and recognized categorization methods. The model shows promising…
This Special Issue focuses on original research and new advances in geochemical anomaly modeling (GAM) and mineral prospectivity mapping (MPM). It discusses the application…
This article presents a review of various deep and machine learning techniques used to identify various complications in diabetic retinopathy (DR). The authors propose…
Researchers at the University of Toronto have developed a novel end-to-end framework to fast-track the discovery of new structural materials. This framework uses machine…
Researchers at the University of Toronto are using machine learning to fast-track the development of advanced structural materials. The team has developed a novel…
We present a genetic algorithm for state preparation (GASP) which generates relatively low-depth quantum circuits for initialising a quantum computer in a specified quantum…
This study presents a novel deep learning classifier to select the most efficient enhanced oil recovery (EOR) method based on reservoir’s rock and fluid…