Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...

Advanced optimization algorithms should ... a novel optimizer based on Bayesian framework. Promising results are obtained when our optimizer is applied on classification of Covid-19 images. By using ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Planes, trains, and automobiles. They can be stressful, but this guide rounds up advice from ...

And indeed, the international team succeeded in specifying a lowest limit for the theoretically achievable precision and in developing AI algorithms for neural networks that come very close to ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

The rapidly growing capabilities and increasing presence of AI-based systems in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies around ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

was employed to capture local patterns through its instance-based learning approach. Algorithm-specific hyperparameter optimization was executed through randomized grid search with 5-fold ...

Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base 45433, Ohio, United States ...