ISO-690 (author-date, English)

OWAIS, Muhammad und SHONGWE, Thokozani, 2026. Machine Learning-Enabled 5 G and 6 G Networks: Methods, Challenges, and Opportunities. Applied Sciences (2076-3417). 15 Februar 2026. Vol. 16, no. 4, p. 2071-2110. DOI 10.3390/app16042071.

Elsevier - Harvard (with titles)

Owais, M., Shongwe, T., 2026. Machine Learning-Enabled 5 G and 6 G Networks: Methods, Challenges, and Opportunities. Applied Sciences (2076-3417) 16, 2071-2110. https://doi.org/10.3390/app16042071

American Psychological Association 7th edition

Owais, M., & Shongwe, T. (2026). Machine Learning-Enabled 5 G and 6 G Networks: Methods, Challenges, and Opportunities. Applied Sciences (2076-3417), 16(4), 2071-2110. https://doi.org/10.3390/app16042071

Springer - Basic (author-date)

Owais M, Shongwe T (2026) Machine Learning-Enabled 5 G and 6 G Networks: Methods, Challenges, and Opportunities.. Applied Sciences (2076-3417) 16:2071-2110. https://doi.org/10.3390/app16042071

Juristische Zitierweise (Stüber) (Deutsch)

Owais, Muhammad/ Shongwe, Thokozani, Machine Learning-Enabled 5 G and 6 G Networks: Methods, Challenges, and Opportunities., Applied Sciences (2076-3417) 2026, 2071-2110.

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