A high-level metaheuristic aware feature learning approaches for identifying Coronavirus variant
Abstract A beta coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has single-stranded (positive-sense) Ribonucleic acid (RNA) genomes that are enclosed and of zoonotic origin. The prediction of Coronavirus variants is a most complicated work. This proposed model presents an innovative approach to preprocessing Deoxyribonucleic acid (DNA) sequences using K-mers, resulting in the transformation of genetic data into English-like statements. The K-mer technique employs a sliding window with a

