Kernel Methods TRIZ Cases
- Time-Based Shopping Prompts for Replacement Product Suggestions
Uses purchase timing and live shopping-site browsing to trigger replacement product suggestions when a prior item is likely due for renewal.
- Serverless Auto-Scaling with Workload Prediction and Replica Pre-Warming
Machine learning workload forecasts and feedback control pre-warm serverless replicas to cut cold starts and meet QoS targets.
- Industrial Process Time-Series Forecasting with CNN Segmentation
Structured time-series subsets let a CNN forecast industrial process outcomes from streaming data with high accuracy and faster real-time prediction.
- Target-Dataset Retraining for Cross-Domain Image Models
Automatically selected similar images and high-confidence labels adapt image models to new datasets while reducing manual annotation cost.
- Lithography Process Correction Using Iterative Dual-Model Feedback
Iterative dual-model feedback refines lithography processing conditions when new functions make correction data hard to determine.