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 ...
HUB

Novel machine learning method can improve genetic risk assessments for non-white populations

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...
BIOENGINEER

Machine Learning Accurately Predicts Capacity of Long Bolted Steel Modular Joints

Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes of long-bolted steel connections in modular ...
The Sentinel

Solving optimization problems with machine learning

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

AI Framework Optimises Infrared Curing of Powder Coatings

Researchers have combined the Tabular Prior-data Fitted Network (TabPFN) with the NSGA-II genetic algorithm to predict and ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...