Instruments TRIZ Cases
- AI Prediction of Device Components for Repair and Replacement
AI classification of device defects predicts repair or replacement components, reducing variation across repair sites, repeat returns, and scrap.
- Detection Image Comparison for Black-Box Model Plagiarism Verification
Specially generated detection images compare classification outputs to verify copied models without exposing architecture, weights, or parameters.
- Application Component Workflows Using Distributed Ledger Verification
Workflow events are validated and recorded as immutable ledger transactions, triggering trusted application actions with clearer traceability.
- Automated SDG Performance Measurement Across Environmental-Human Linkages
IoT and machine learning integrate and normalize data across environmental-human linkages to track SDG progress reliably.
- Convolutional Transformer Layers for Global-Local Feature Extraction
Convolutional transformer layers combine self-attention with local convolutions to capture global context while limiting neural-network parameters.
- Pick Area Replenishment Logic for Swap and Low-Stock Response
Low-stock thresholds and pick-area build data identify swap or replenishment work, reducing cherry picking and replenishment downtime.
- Object And Relationship Detection With Density-Aware Joint Learning
Separate object and relationship models limit cross-learning; a shared backbone and density-aware joint loss improve scene graph detection.