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 perceptions influence outputs.

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

This paper investigates multifactor authentication algorithm which will influence the development of resilient MFA authentication to effectively protect against MFA fatigue attacks. An enhanced MFA ...

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 ...

Moreover, the present decision tree algorithm identified more and different variables related to SLD than those reported in the current definition of MASLD. It is worth noting that the regression tree ...

Using machine learning to improve prediction accuracy, this study investigates the use of the Extra Tree (Extremely Randomized Trees) algorithm for heart disease prediction. The research includes data ...

Regression trees are applied to evaluate system performance – using two water quality and two economic performance metrics. Regression trees facilitated insights into the significance of uncertain ...

Mild cognitive impairment (MCI) ML algorithms used for MCI included 3D-CNN, support vector machines, Gaussian Naive Bayes (GNB), EMCI identification framework, LASSO logistic regression, Naïve Bayes, ...

Decision tree regression is a fundamental technique that can be used by itself, and is also the basis for powerful ensemble techniques (a collection of many decision trees), notably, AdaBoost ...