GitHub / Saurabh-html / Saurabh-html-Gas-Sensor-Drift-Compensation-and-Concentration-Quantification
A Random Forest Regressor-based framework for compensating sensor drift in MOS gas sensors over 36 months. Designed for industrial IoT, it achieves <10% MAE, reduces recalibration by 40%, and runs in 5 ms on edge devices.
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PURL: pkg:github/Saurabh-html/Saurabh-html-Gas-Sensor-Drift-Compensation-and-Concentration-Quantification
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Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 0 Bytes
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: gas-sensor-drift, machine-learning, python, random-forest-regressor