The accurate classification of endoscopic images is a challenging yet critical task in medical
diagnostics, which directly affects the treatment and management of Gastrointestinal …

This study explores the classification of Daisy and Dandelion flowers using a Gaussian
Naive Bayes classifier, enhanced by Sobel segmentation and Hu moment feature extraction …

In the rapidly evolving landscape of computing and networking, the concepts of cloud
networks have gained significant prominence. Although the cloud network offers on-demand …

Objective This study compared COVID-19 outcomes between vaccinated and unvaccinated
older adults with and without cognitive impairment. Method Electronic health records from …

In order to understand the dynamics in climate change, inform policy decisions and prompt
timely action to mitigate its impact, this study provides a comprehensive analysis of the short …

This study explores the application of a voting classifier, integrating Decision Tree, Logistic
Regression, and Gaussian Naive Bayes models, for the multiclass classification of dry bean …

Early detection of driver behavior is a pivotal aspect in enhancing road safety, focusing on
identifying and mitigating risky driving patterns before they lead to accidents. The use of …

This research paper presents a comprehensive analysis of the Gaussian Naive Bayes
(GNB) classifier's application in predicting health conditions from blood samples …

The airline industry has bloomed greatly after the COVID-19. The customer satisfaction
about the airlines is a key factor in the success of the airline industry. This study focuses on …

To understand dynamics in climate change, informing policy decisions and prompting timely
action to mitigate its impact, this study provides a comprehensive analysis of the short-term …