Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in production, it ...

In this project, a computational framework for modeling infectious disease dynamics is developed using the classical Susceptible–Infectious–Recovered (SIR) model implemented in MATLAB. The system is ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

AUSTIN (KXAN) — Thursday, Austin Mayor Kirk Watson released a draft “decision tree” the city could use to determine whether it moves forward with a 2026 bond package it’s been working on for more than ...

Abstract: The use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, ...

The Supreme Court’s decision Tuesday blocking President Donald Trump from sending the National Guard into American cities is likely to raise a politically fraught debate about the president’s ...

How can closely related mental illnesses with similar symptoms be reliably distinguished from one another? As part of a German-Chinese collaboration, researchers from Forschungszentrum Jülich and ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.