Machine learning approaches for fish age prediction in European hake
23 September 2024 Dr. Dimitris Klaoudatos Novel approach combines available predictive tools and state-of-the-art machine learning methods, bridging a gap...
machine
Machine learning accelerates discovery of high-temperature alloys
The ML-based framework for the MOO design of RHEAs. Credit: Cheng Wen et al. In a study recently published in...
Comprehensive input models and machine learning methods to improve permeability prediction
Data preparationIn the studied field, after collecting the required data, the information related to the logs of wells A and...
New machine learning approach boosts precision of cardiovascular risk assessments
Risk calculators are used to evaluate disease risk for millions of patients, making their accuracy crucial. But when national models...
Decoupling and predicting natural gas deviation factor using machine learning methods
Basic datasetThe foundational Z-factor data for developing the machine learning models were sourced from gas wells of the Jurassic Shaximiao...
LASR: A Novel Machine Learning Approach to Symbolic Regression Using Large Language Models
Symbolic regression is an advanced computational method to find mathematical equations that best explain a dataset. Unlike traditional regression, which...
