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Hybrid-Ensemble IoT Model for Air Quality by p21ec016 is a document available to read on EtoBox.

What is Hybrid-Ensemble IoT Model for Air Quality about?

The document presents AiCareAir, a hybrid-ensemble IoT sensing unit model designed to predict air pollutant concentrations using machine learning and deep learning techniques. The model integrates various algorithms, including random forest, K-nearest neighbor, extreme gradient boosting, and neural networks, to enhance prediction accuracy for six major air pollutants based on data collected from sensors in Kuala Lumpur, Malaysia. The study highlights the importance of accurate air quality predictions for pu

Author

p21ec016

Language

EN