Researchers have determined that the red cell distribution width-to-albumin ratio (RAR), a composite biomarker of systemic ...

This study examines a valuable question regarding the developmental trajectory of neural mechanisms supporting facial expression processing. Leveraging a rare intracranial EEG (iEEG) dataset including ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

Researchers identified that triterpene glycosides from the starfish Solaster pacificus can kill drug-resistant prostate ...

Vehicle emissions are a leading source of greenhouse gases, yet conventional modeling tools assume symmetrical and proportional relationships between fuel use, engine size, and emissions. This ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

China: A recent NHANES study, published in the International Urogynecology Journal, highlights the combined impact of ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

This type of regression was always going to be the most likely outcome for Luzardo, but it's still been a pretty big blow for the Phillies' rotation.

Nonlinear Regression: Estimating Hand-to-Camera Distance This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the ...

Article citations More>> Wang, Y., Feng, L., Sui, X., Chu, J., & Mu, L. (2020). Nonlinear Regression Models for Agricultural Price Forecasting: A Comparative Study. Agricultural Systems, 180, 102-115.