Stroke is a major public health issue with significant economic consequences. This study aims to enhance stroke prediction by addressing imbalanced datasets and algorithmic bias. Our research focuses on accurately precisely detecting possibility aid prevention. We tackle the overlooked aspect of in healthcare literature. predicting general context rather than specific subtypes. clarification wi...

This paper is concerned with the experimental design for precise parameter estimation in a model of known form. Emphasis is primarily placed on three flotation models in which the parameters appear in a non-linear fashion. The first part of the paper consists of a brief statement of the statistical concepts and procedures involved in obtaining precise estimates of parameters, the logic of the d...

Precise estimation of the Worst-Case Execution Time (WCET) of embedded software is a necessary precondition in safety critical systems. Static methods for WCET analysis rely on precise models of the target processor’s micro-architecture. Measurement-based methods, in contrast, rely on exhaustive measurements performed on the real hardware. The rise of the multicore processors often renders stat...

the problem of utilizing undesirable (bad) outputs in dea models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. the kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. also, there are some specific features of non-radial data envelopment analysis (dea...