Google, Microsoft and Nvidia are among the names vying to make forecasts more accurate for longer.

The findings shed new light on human reproduction and suggest pathways for developing treatments to lower the risk of ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...

New AI systems are less accurate than older versions, with error rates up to 79%. Learn why this happens and how to protect your brand. Newer AI tools are less ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

ABSTRACT: Service quality is important for public organisations, especially in higher education, where accredited degrees enhance reputation and competitiveness. A strong university image fosters ...

Abstract: The Errors-in-Variables model of system identification/control involves nontrivial input and measurement corruption of observed data, resulting in generically nonconvex optimization problems ...