KENSA Thesis Audit — Pre-defense Checklist

Presentation Defense Quiz
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Full audit of Enhancing Steel Quality Control Through Computer Vision and Machine Learning (Narvadez, Hebrado, Ramos, Revilla, 2026). Each item below is a concrete fix to apply before defense submission. Check items as you complete them — state is saved in your browser via localStorage, so refreshing or coming back later preserves your progress. Sections are ordered by severity, but inside each section you can tackle items in any order.

🚨 Critical structural gaps defense-level

📚 RRL citations missing from References list 17 items

📕 References listed but never cited in body 11 items

🔁 Duplicate references (same DOI/URL) 2 pairs

🔀 YOLO26 ↔ YOLOv11 inconsistencies selected model mismatch

✏️ Spelling, grammar, and typo bugs 12 items

📊 Data / numerical issues 3 items

🧱 Should be in but isn't (adviser-style pre-empts) 12 items

⚡ Top 5 if you're triaging time

  1. Add Abstract + front matter (Approval, Acknowledgments, TOC, LOT, LOF)
  2. Define KENSA, Steel IRIS, kirabase.net, Linso, YOLO26
  3. Fix the 17 missing RRL citations + 2 duplicate refs
  4. Replace YOLO26 with YOLOv11 in Figure 3, Figure 7 caption, §3.8.9, Figure 17
  5. Remove the verbatim duplicate paragraphs in §2.2.2