Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...

Abstract: This study proposes an intelligent classification method of tobacco colour based on random forest algorithm. By collecting six grades of tobacco samples from 87 varieties of Yunnan Yuxi ...

Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...

Compare the best AI image generators, including Gemini, ChatGPT, Midjourney, Firefly, Ideogram, FLUX, Recraft, Stable ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Diabetic peripheral neuropathy (DPN) is a prevalent and highly disabling complication of diabetes mellitus, associated with markedly increased rates of disability and mortality. Timely intervention ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

Anastasia Maria Loupis Average daily views on X 43.1 million views Post on Dec. 2 goes viral Anastasia Maria Loupis runs a popular account on X that used to receive hundreds of thousands of views each ...

Abstract: The purpose of this study is to predict obesity using KNN algorithm compared with Random Forest algorithm. This research paper focuses on the creation of a novel method for obesity ...