achieved false detection improvement room
Research gap analysis derived from 2 computer_science papers in our local library.
The gap
The model achieved 81.7% accuracy but some fake images were not detected by the system (120 false negatives out of 500 fake samples), indicating room for improvement in detection sensitivity.; The system achieved detection performance between 81-88%, indicating room for improvement in accuracy and the potential for false negatives in critical security scenarios.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- Deepfake Detection Based Smart Voting System (2026) · doi
The model achieved 81.7% accuracy but some fake images were not detected by the system (120 false negatives out of 500 fake samples), indicating room for improvement in detection sensitivity.
Keywords: fake model achieved accuracy images detected system false negatives samples indicating room improvement detection sensitivity - Real-Time Edge-Based Burglary Detection and Automated Alerting Using Deep Learning Framework (2026) · doi
The system achieved detection performance between 81-88%, indicating room for improvement in accuracy and the potential for false negatives in critical security scenarios.
Keywords: system achieved detection performance indicating room improvement accuracy potential false negatives critical security scenarios
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.
Related gaps in computer_science
- computational efficiency cost trade reductionThe paper emphasizes decision-making under time pressure as developed through chess play (S. Pereira, 2024), yet provides no empirical data …
- dataset datasets kaggle apps withoutThe analysis is limited to a single dataset (9,146 apps from Kaggle) without cross-validation on other app store datasets or different domai…
- concerns institutional powered chatbots conversationalFurthermore, future research should examine the impact of institutional policies and AI training programs on reducing lecturers’ ethical co…
- computing computational quantization deployment pruningReal-time and resource-constrained deployment optimization for the multimodal emotion recognition framework has not been addressed. Future r…