BIOENGINEER

Machine learning model predicts tensile strength of fiber-reinforced polymer composites

A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization ...
The Sentinel

Solving optimization problems with machine learning

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...
BIOENGINEER

Machine Learning Links Flame Retardant TDCPP to Endometrial Cancer Genes

A machine learning and bioinformatics study identified six potential hub genes linking the organophosphate flame retardant ...
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 ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...