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Author

Nida Hasanati

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Open access Oct 2026

MangoVQA: A Multi-Answer Visual Question Answering System for Grading SNI-Aligned Mango Quality using Deep Learning and Text Processing

Visual Question Answering (VQA), a multimodal AI task combining computer vision and language understanding, answers text-based questions about visual content. Although VQA has developed rapidly, most existing approaches assume a single correct answer, whereas real-world images often require several valid answers simult...

Nida Hasanati, Taufik Djatna, I. S. Sitanggang et al. · 0 citations
#graph neural networks Review Open access Sep 2026

Exploring multi-answer visual question answering with object detection: a systematic review

This systematic literature review (SLR) focuses on multi answer VQA systems and the use of object detection, following the PRISMA 2020 guidelines and proposes a taxonomy of multi-answer VQA organized along four dimensions.

Nida Hasanati, Taufik Djatna, Imas Sukaesih Sitanggang et al. · 0 citations

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