Data Science articles
Articles from the KeeWee team tagged Data Science.
Data ScienceAIPEMS
Why "Glass Box" AI is the Future of Emissions Compliance: Beyond the Neural Network Hype
Peer-reviewed research shows how explainable, tree-based machine learning models like XGBoost can deliver regulatory-ready NOₓ predictions without black-box complexity.
By KeeWeeRead article →Data ScienceAIPEMSCan Open-Source Deep Learning Models Replace Expensive Stack Analyzers? This Study Says Yes.
A study led by Minxing Si of KeeWee Solutions Inc. demonstrates how facility operators can achieve stringent regulatory precision requirements for NOx monitoring using standard process data and free machine learning libraries.
By KeeWeeRead article →Data ScienceAIMachine learning approach to calibration low-cost IoT sensors
By Minxing SiRead article →Data ScienceGHGTIERBeyond Simulations: A Real-World Look at Canadian Oil Sands Fuel Consumption
To design effective climate policies, we need accurate data, not just simulations. Our new study analyzes actual fuel use from 18 Canadian in situ oil sands schemes to uncover the real drivers of emissions intensity and evaluate the effectiveness of Alberta’s intensity-based TIER regulation.
By Minxing SiRead article →