BIOENGINEER

Fuzzy Rules and Genetic Algorithms Team Up to Build a Digital Twin for Multiple Sclerosis

Researchers have developed a Michigan-style genetic fuzzy system that turns sparse multiple sclerosis records into ...
BIOENGINEER

Deep Learning Meets Its Match in Genetic Disease Prediction as Uncertainty Steals the Show

A deep neural network lost the accuracy race against random forest and SVM on a genetic disease benchmark, but its Monte ...
Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
The Stanford Daily

Research Roundup: Brain degeneration, machine learning for identifying diseases and AI-generated genetic code

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...