Towards neural-symbolic coherence in Urdu language visual question answering

By: Material type: TextTextPublication details: Islamabad (unpublished) 2025Description: 63 p. : ill., Col. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.8 SOH
Dissertation note: Thesis (MS)--Riphah International University, 2025
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Thesis Thesis City Campus 005.8 SOH (Browse shelf(Opens below)) 1 NOT for LOAN 53850

Submitted in fulfillment of the requirement for the degree of Master of Science in Data Sciences to the Faculty of Riphah Institute of System Engineering

Includes bibliographical references.

Thesis supervisor: Dr. Ahthasham Sajid

Thesis (MS)--Riphah International University, 2025

English

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