Browsing: Support Vector Machine

In this article, the authors propose a robust model, SVM-SSA, for predicting suspended sediment load in streams using support vector machine and a novel…

This study utilized a dataset of 731 patients with sporadic cerebral cavernous malformations (CCM) to evaluate the risk of hemorrhage and (re)hemorrhage in follow-up.…

This article explores a novel approach that combines traditional statistical analysis with cutting-edge AI and ML techniques to identify critical biomarkers for predictive engines…

This thesis explores the potential of leveraging recent technological innovations to accelerate taxonomic research, which is a critical bottleneck in the current sixth mass…

This article discusses the use of neutron-capture prompt-gamma activation analysis (PGAA) for the detection of illicit radiological materials. Six different machine-learning algorithms were developed…

The quantum kernel method is an important algorithm in quantum machine learning techniques that can be used for binary and multiclass classification. It is…

This study employed an artificial intelligence algorithm for the discrimination of gas mixtures in exhaled breath. The Boruta algorithm was used for feature selection…

This study aimed to predict the metastasis status of gastric cancer (GC) patients using machine learning (ML) based models, including decision tree, random forest,…