ISO-690 (author-date, English)

M., Ramnath und C., Yesubai Rubavathi, 2024. Enhancing App Authentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications. Peer J Computer Science. 1 November 2024. P. 1-42. DOI 10.7717/peerj-cs.2515.

Elsevier - Harvard (with titles)

M., R., C., Y.R., 2024. Enhancing App Authentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications. Peer J Computer Science 1-42. https://doi.org/10.7717/peerj-cs.2515

American Psychological Association 7th edition

M., R., & C., Y. R. (2024). Enhancing App Authentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications. Peer J Computer Science, 1-42. https://doi.org/10.7717/peerj-cs.2515

Springer - Basic (author-date)

M. R, C. YR (2024) Enhancing App Authentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications.. Peer J Computer Science 1-42. https://doi.org/10.7717/peerj-cs.2515

Juristische Zitierweise (Stüber) (Deutsch)

M., Ramnath/ C., Yesubai Rubavathi, Enhancing App Authentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications., Peer J Computer Science 2024, 1-42.

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