Abstract: In many data domains, such as engineering and medical diagnostics, the inherent uncertainty within datasets is a critical factor that must be addressed during decision-making processes. To ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...

Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples. Beginner projects focus on logic building and automation, while advanced ...

Nurses across primary and community care settings have been urged to consider how to make spirometry more accurate and less daunting for patients, during a recent Nursing in Practice event in ...