American Psychological Association 6th edition

Singh, L. K., Khanna, M., Monga, H., singh, R., & Pandey, G. (2024). Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images. New Generation Computing, 1-64. https://doi.org/10.1007/s00354-024-00255-4

ISO-690 (author-date, English)

SINGH, Law Kumar, KHANNA, Munish, MONGA, Himanshu, SINGH, Rekha and PANDEY, Gaurav, 2024. Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images. New Generation Computing. 10 May 2024. P. 1-64. DOI 10.1007/s00354-024-00255-4.

Modern Language Association 9th edition

Singh, L. K., M. Khanna, H. Monga, R. singh, and G. Pandey. “Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images”. New Generation Computing, May 2024, pp. 1-64, https://doi.org/10.1007/s00354-024-00255-4.

Mohr Siebeck - Recht (Deutsch - Österreich)

Singh, Law Kumar/Khanna, Munish/Monga, Himanshu/singh, Rekha/Pandey, Gaurav: Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images, New Generation Computing 2024, 1-64.

Emerald - Harvard

Singh, L.K., Khanna, M., Monga, H., singh, R. and Pandey, G. (2024), “Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images”, New Generation Computing, pp. 1-64.

Warning: These citations may not always be 100% accurate.