An agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Introduction Following a historic 2006 US Federal Court ruling, major cigarette manufacturers were mandated to display ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

James Madison completed a 12-1 season by defeating Troy in the championship game to win the Sun Belt conference in Coach Chesney’s second year, after taking over for Curt Cignetti when the latter left ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

:23 – Nope, not that one. Every one of Morton’s interceptions have been forced balls and there’s a dozen more close calls ...

In the year and a half since Labour won a landslide in the 2024 general election, over 400 polls have been published. Combined, these polls tell a story of a government and its traditional opposition ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...