Ghada Badr

TL;DR: The experimental results prove that the proposed mRMR-ABC algorithm achieves accurate classification performance using small number of predictive genes when tested using both datasets and compared to previously suggested methods, showing that mR MR-ABC is a promising approach for solving gene selection and cancer classification problems.

TL;DR: This model aims to reduce dropout levels by helping student predict their likelihood of success in a course before they enroll in it and course instructors will be able to enhance student performance in the course by better estimating their abilities to learn the subject matter and adjusting their teaching strategies and methods.

TL;DR: In this article, the authors present a process by which user can recognize an unknown string X, which is an element of a finite, but possibly larger Dictionary, H, by processing the information contained in its noisy/inexact version, Y, where Y is assumed to contain substitution, insertion or deletion errors.