If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Clinical-ready AI tool boosts breast cancer detection via decision tree algorithms The system is structured around a client-server architecture designed to provide scalability, remote accessibility, ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. Though there are several cryptography algorithms, the symmetric ...

Credit cards are replacing cash in shopping. With the increase in popularity of plastic money like credit cards, hackers are misusing this as an opportunity to commit fraud. In this research work, we ...

Finally, literature [9] combines Pearson correlation coefficient with decision tree algorithms to minimize noise accumulation in large-scale datasets, further enhancing the algorithm’s utility in ...