TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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Explainable AI for Factory Operations: Building Trust
SHAP heatmaps vs decision trees for factory AI trust: one impresses engineers, the other ships. Real vibration data, production results.
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Dijkstra vs Bellman-Ford: Shortest Path Algorithm Guide
Dijkstra breaks on negative edges. Bellman-Ford runs O(VE). Pick wrong and debug for hoursโhere's the 30-second decision tree.
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Sensor Fusion and IoT Integration in Smart Manufacturing
Weighted averaging vs temporal fusion transformers for sensor fusion: benchmark on 6-axis IMU data shows surprising edge deployment winner.
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Object Detection and Tracking: Monitoring Assembly Line Workflows
YOLOv8 + centroid tracking vs DeepSORT for assembly lines: latency benchmarks on Jetson Nano reveal the faster, cheaper winner.
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Time Series Demand Forecasting: Why Prophet Fails
Prophet failed our factory demand planning. Multi-horizon LightGBM with quantile regression cut forecast error 63%โhere's the code.
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Edge AI vs Cloud AI: Architecture Guide for Factories
Edge AI vs Cloud AI for factories: latency, cost, and reliability compared across 3 real deployments. The hybrid approach won.
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RL for Production Scheduling: DQN Failed, PPO Saved It
DQN crashed on factory scheduling. PPO barely helped. This hybrid RL+heuristic cut tardiness 40% in productionโfull implementation.
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DTW for Multi-Sensor Anomaly Detection in Machinery
DTW beats point-based methods for gradual bearing faults: 12% earlier detection on real degradation data. Includes multi-sensor code.