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Distance learning applications provide valuable opportunities to users with disabilities. To enhance the accessibility of the distance-learning portal to vision impaired users, we utilize analytical studies on human vision to develop a visibility based adaptation algorithm. Using this adaptation the quality levels and layout of the portal is adapted to enhance the visibility, to users with various vision impairments.
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Stored only when both papers are in the corpus — 4 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.