Mai S. Mabrouk

TL;DR: A novel metaheuristic algorithm named Henry gas solubility optimization (HGSO), which mimics the behavior governed by Henry’s law to solve challenging optimization problems, provides competitive and superior results compared to other algorithms when solving challenging optimize problems.

TL;DR: The experimental results suggest that AOA is a high-performance optimization tool with respect to convergence speed and exploration-exploitation balance, as it is effectively applicable for solving complex problems.

TL;DR: The experimental results, along with statistical analysis, reveal the effectiveness of HBA for solving optimization problems with complex search-space, as well as, its superiority in terms of convergence speed and exploration–exploitation balance, as compared to other methods used in this study.

TL;DR: Results indicated that texture analysis is a useful method for discrimination of melanocytic skin tumors with high accuracy, and automatic iteration counter gives a better accuracy.

TL;DR: A novel modified Henry gas solubility optimization (MHGSO) algorithm for motif discovery which elicits a functional motif in DNA genomic sequences and outperforms the competitor techniques in terms of nucleotide-level correlation coefficient, recall, precision, F -score, Cohen’s Kappa, and statistical validation measures.