Tag: artificial neural network

A controlled comparison of regression, econometric, and machine learning models on German data finds that the most accurate historical model ...

A retrospective single-center study developed an interpretable artificial neural network that predicted three-year local recurrence after lung SBRT with an ...

A new machine learning framework accurately forecasts ecological risk from copper, lead, and mercury pollution in the Lower Passaic River, ...

A dual-stage PLS-SEM and neural network study of 291 Chinese university students finds that generative AI use significantly boosts innovative ...

Researchers in Sikkim, India, have developed machine learning models that predict soil aggregate stability from routine soil measurements, offering a ...

Researchers have trained an artificial neural network to reconstruct the full vertical profile of tropospheric humidity from a single ground-based ...

A study of 205 coconut-farming households in Vietnam's Mekong Delta finds that social expectations, not policy or personal attitudes, most ...

A new computational study shows that a zigzag-corrugated porous cavity filled with a CuO–Al2O3–Ag/water ternary hybrid nanofluid dramatically amplifies heat ...

Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic para-phenylenediamine adulteration in henna non-destructively.

Researchers have combined artificial neural networks with genetic algorithms to model and optimize multistage palm oil fractional crystallization, achieving prediction ...