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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.

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Bibliographic Details
Title: 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.
Authors: Azhar, Muhammad1 (AUTHOR) azhar@hksyu.edu, Amjad, Adeen2 (AUTHOR), Arman, Muhammad2,3 (AUTHOR), Dewi, Deshinta Arrova1,3 (AUTHOR)
Source: Information. May2026, Vol. 17 Issue 5, p458. 27p.
Database: Academic Search Ultimate
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ISSN:20782489
DOI:10.3390/info17050458