A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Background There are limited studies regarding risk factors for sports-related injuries in adolescent athletes.Objectives The ...

Abstract: Time series forecasting has attracted significant interest across various fields in recent years. Notably, Transformers have been extensively investigated for long-term time series ...

Estimates of malaria prevalence and intervention coverage in Africa are primarily based on nationally representative household (HH) surveys. However, the expense and infrequency limit the utility of ...

This article was originally published on www.si.com/nfl/colts as Colts Must Contemplate Signing Stephon Gilmore. The ...

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Objective Because physician burnout negatively affects patients, organisations and those impacted, we aimed to identify and ...

Artificial intelligence is now built directly into many SaaS platforms, and that shift has created a new testing challenge. These systems don’t just run code, they generate predictions, adapt to fresh ...

Abstract: While accelerator-based heterogeneous architectures have gained traction in accelerating AI tasks, effectively managing them with stringent timing constraints remains a challenge. Although ...

Namagwa, S. (2025) Enhancing Efficiency of Pension Schemes through Effective Risk Governance: A Kenyan Perspective. Journal ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...