AiCareAir: Hybrid-Ensemble Internet-of-Things Sensing Unit Model for Air Pollutant Control

Computer Science

• Machine Learning 100%
• Internet of Things 100%
• Prediction Accuracy 66%
• Extreme Gradient Boosting 66%
• Artificial Intelligence 33%
• Random Decision Forest 33%
• Neural Network Model 33%
• Root Mean Squared Error 33%
• Long Short-Term Memory Network 33%
• Ensemble Learning 33%
• Deep Learning Model 33%
• Gated Recurrent Unit 33%
• Air Pollution 33%

Mathematics

• Ensemble Model 100%
• Internet of Things 100%
• Nearest Neighbour 50%
• Heterogeneous Group 50%
• Neural Network 50%
• Network Model 50%
• Squared Error 50%
• Deep Learning 50%

Keyphrases

• Hybrid Ensemble 100%
• Hybrid Ensemble Learning Model 33%
• Major Air Pollutants 33%