{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:54:38Z","timestamp":1747191278085,"version":"3.40.5"},"reference-count":33,"publisher":"Wiley","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2023,11,17]]},"abstract":"<jats:p>Deoxyribonucleic acid (DNA) can be considered as one of the most useful biometrics. It has effectively been used for recognizing persons. However, it seems that there is still a need to propose a new approach for verifying humans, especially after the recent big wars, where too many people lost and die. This approach should have the capability to provide high personal verification performance. In this paper, a personal recognition approach based on artificial intelligence is proposed. This approach is called the artificial DNA algorithm for recognition (ADAR). It utilizes a unique identity for each person acquired from DNA nucleotides, and it can verify individuals efficiently with high performance. The ADAR has been designed and applied to multiple datasets, namely, the DNA classification (DC), sample DNA sequence (SDS), human DNA sequences (HDS), and DNA sequences (DS). For all datasets, a low value of 0% is achieved for each of the false acceptance rate (FAR) and false rejection rate (FRR).<\/jats:p>","DOI":"10.1155\/2023\/6678837","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T23:50:06Z","timestamp":1700265006000},"page":"1-10","source":"Crossref","is-referenced-by-count":2,"title":["An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9673-453X","authenticated-orcid":true,"given":"Raid Rafi Omar","family":"Al-Nima","sequence":"first","affiliation":[{"name":"Technical Engineering College of Mosul, Northern Technical University (NTU), Mosul, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6551-7631","authenticated-orcid":true,"given":"Marwa Mawfaq Mohamedsheet","family":"Al-Hatab","sequence":"additional","affiliation":[{"name":"Technical Engineering College of Mosul, Northern Technical University (NTU), Mosul, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4296-0985","authenticated-orcid":true,"given":"Maysaloon Abed","family":"Qasim","sequence":"additional","affiliation":[{"name":"Technical Engineering College of Mosul, Northern Technical University (NTU), Mosul, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/5.628674"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.12928\/telkomnika.v19i3.16573"},{"key":"3","unstructured":"Rafi Omar Al-NimaR.Personal identification based on Iris patterns2006Mosul, IraqTechnical Engineering College of MosulM.Sc. thesis"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/CSASE48920.2020.9142088"},{"issue":"14","key":"5","article-title":"Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch","volume":"12","author":"V. 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