ADHIKARY, Subhrangshu und BANERJEE, Saikat, 2023. Introduction to Distributed Nearest Hash: On Further Optimizing Cloud Based Distributed k NN Variant. Procedia Computer Science. 1 Februar 2023. Vol. 218, , p. 1571-1580. DOI 10.1016/j.procs.2023.01.135.
Elsevier - Harvard (with titles)Adhikary, S., Banerjee, S., 2023. Introduction to Distributed Nearest Hash: On Further Optimizing Cloud Based Distributed k NN Variant. Procedia Computer Science 218, 1571-1580. https://doi.org/10.1016/j.procs.2023.01.135
American Psychological Association 7th editionAdhikary, S., & Banerjee, S. (2023). Introduction to Distributed Nearest Hash: On Further Optimizing Cloud Based Distributed k NN Variant. Procedia Computer Science, 218, 1571-1580. https://doi.org/10.1016/j.procs.2023.01.135
Springer - Basic (author-date)Adhikary S, Banerjee S (2023) Introduction to Distributed Nearest Hash: On Further Optimizing Cloud Based Distributed k NN Variant.. Procedia Computer Science 218:1571-1580. https://doi.org/10.1016/j.procs.2023.01.135
Juristische Zitierweise (Stüber) (Deutsch)Adhikary, Subhrangshu/ Banerjee, Saikat, Introduction to Distributed Nearest Hash: On Further Optimizing Cloud Based Distributed k NN Variant., Procedia Computer Science 2023, 1571-1580.