APA (7th ed.) Citation

Azhar, M., Amjad, A., Arman, M., & Dewi, D. A. (2026). Multimodal Emotion Detection in Low-Resource Languages Using Lightweight Transformer Architectures: A Dual-Level Fusion Framework Integrating DistilBERT, CNN-BiGRU, and MobileViT for Efficient Real-Time Urdu Affective Computing. Information, 17(5), 458. https://doi.org/10.3390/info17050458

Chicago Style (17th ed.) Citation

Azhar, Muhammad, Adeen Amjad, Muhammad Arman, and Deshinta Arrova Dewi. "Multimodal Emotion Detection in Low-Resource Languages Using Lightweight Transformer Architectures: A Dual-Level Fusion Framework Integrating DistilBERT, CNN-BiGRU, and MobileViT for Efficient Real-Time Urdu Affective Computing." Information 17, no. 5 (2026): 458. https://doi.org/10.3390/info17050458.

MLA (9th ed.) Citation

Azhar, Muhammad, et al. "Multimodal Emotion Detection in Low-Resource Languages Using Lightweight Transformer Architectures: A Dual-Level Fusion Framework Integrating DistilBERT, CNN-BiGRU, and MobileViT for Efficient Real-Time Urdu Affective Computing." Information, vol. 17, no. 5, 2026, p. 458, https://doi.org/10.3390/info17050458.