Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.
Researchers at Duke University are proposing a new framework to evaluate artificial intelligence scribing tools by using a combination of human review and technological evaluation. The tools, while ...
Deep Learning with Yacine on MSN
Which Cross-Validation Method Should You Use in Machine Learning?
Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...
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, ...
Tech Xplore on MSN
Machine learning used to calibrate emissions control systems faster, more efficiently
Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...
A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback