American Psychological Association 6th edition

Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, & A. Johnson Santhosh. (2025). Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm. Scientific Reports. https://doi.org/10.1038/s41598-025-85206-9

ISO-690 (author-date, English)

MU PANLIANG, SANJAY MADAAN, SIDDIQ AHMED BABIKIR ALI, GOWRISHANKAR J., ALI KHATIBI, ANAS RATIB ALSOUD, VIKAS MITTAL, LALIT KUMAR and A. JOHNSON SANTHOSH, 2025. Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm. Scientific Reports. 1 January 2025. DOI 10.1038/s41598-025-85206-9.

Modern Language Association 9th edition

Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, and A. Johnson Santhosh. “Enhancing Feature Selection for Multi-Pose Facial Expression Recognition Using a Hybrid of Quantum Inspired Firefly Algorithm and Artificial Bee Colony Algorithm”. Scientific Reports, Jan. 2025, https://doi.org/10.1038/s41598-025-85206-9.

Mohr Siebeck - Recht (Deutsch - Österreich)

Mu Panliang/Sanjay Madaan/Siddiq Ahmed Babikir Ali/Gowrishankar J./Ali Khatibi/Anas Ratib Alsoud et al.: Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm, Scientific Reports 2025,

Emerald - Harvard

Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar and A. Johnson Santhosh. (2025), “Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm”, Scientific Reports, available at:https://doi.org/10.1038/s41598-025-85206-9.

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