APA (7th ed.) Citation

Anarbayeva, D., & Meraliyev, M. (2026). HOW DO DEEP LEARNING-BASED FACE RECOGNITION SYSTEMS ADDRESS CURRENT CHALLENGES THROUGH DIFFERENT DATA MODALITIES AND EVALUATION APPROACHES. German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft, 127, 123. https://doi.org/10.5281/zenodo.20073907

Chicago Style (17th ed.) Citation

Anarbayeva, Dana, and Meraryslan Meraliyev. "HOW DO DEEP LEARNING-BASED FACE RECOGNITION SYSTEMS ADDRESS CURRENT CHALLENGES THROUGH DIFFERENT DATA MODALITIES AND EVALUATION APPROACHES." German International Journal of Modern Science / Deutsche Internationale Zeitschrift Für Zeitgenössische Wissenschaft 127 (2026): 123. https://doi.org/10.5281/zenodo.20073907.

MLA (9th ed.) Citation

Anarbayeva, Dana, and Meraryslan Meraliyev. "HOW DO DEEP LEARNING-BASED FACE RECOGNITION SYSTEMS ADDRESS CURRENT CHALLENGES THROUGH DIFFERENT DATA MODALITIES AND EVALUATION APPROACHES." German International Journal of Modern Science / Deutsche Internationale Zeitschrift Für Zeitgenössische Wissenschaft, 127, 2026, p. 123, https://doi.org/10.5281/zenodo.20073907.