Science AI Journal
Try Pre-Check Free
computer_science2 papersavg year 2026quality 5/5

failure cases negative false positive

Research gap analysis derived from 2 computer_science papers in our local library.

The gap

The visualization results section appears incomplete ('it can be seen from Figure 5 that the original YOLOv11 model exhibited issues of false dete'), and no discussion of false positive/negative cases or failure modes is provided.; The study does not discuss error analysis, false positive/negative cases, or specific failure scenarios of the CNN model.

Research trend

Emerging — attention growing, methods still coalescing.

Supporting evidence — 2 representative gaps

  • Research on Pavement Crack Identification Method Based on Improved YOLOv11 (2026) · doi

    The visualization results section appears incomplete ('it can be seen from Figure 5 that the original YOLOv11 model exhibited issues of false dete'), and no discussion of false positive/negative cases or failure modes is provided.

    Keywords: false visualization appears incomplete seen original yolov model exhibited issues dete discussion positive negative cases
  • Implementation of Machine Learning Approach for Deforestation Prediction (2026) · doi

    The study does not discuss error analysis, false positive/negative cases, or specific failure scenarios of the CNN model.

    Keywords: discuss error false positive negative cases specific failure scenarios model

Working on this gap? Publish with us.

Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.

Submit a manuscriptRun a pre-submission check

Related gaps in computer_science

Command palette

Jump anywhere, run any action.