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

The detrimental effects on human health caused by air pollution show that being able to predict air quality is a task of utmost significance. The application of artificial intelligence (AI) and the Internet of Things (IoT) is seen as promising in this domain. The performances of state-of-the-art mod...

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Veröffentlicht in:	IEEE sensors journal 2024-07, Vol.24 (13), p.21558-21565
Hauptverfasser:	Borah, Jintu, Mohd. Nadzir, Mohd. Shahrul, Cayetano, Mylene G., Majumdar, Shubhankar, Ghayvat, Hemant, Srivastava, Gautam
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adam optimizer Air pollution Air quality Artificial intelligence Atmospheric modeling Computer Science Convolutional neural networks convolutional neural networks (CNNs) Datavetenskap Deep learning Ensemble learning gated recurrent units (GRUs) Internet of Things Keras API Long short term memory long short-term memory (LSTM) Machine learning Outdoor air quality Pollutants Pollution measurement Predictive models Scikit learn Sensors
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