Optimized Feature Selection for Air Quality Index Forecasting using GPR and SARIMA Models-Reference-Cited by-同舟云学术

Optimized Feature Selection for Air Quality Index Forecasting using GPR and SARIMA Models

Published:2023-04-26 Issue: Volume: Page:
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Container-title:2023 International Conference on Inventive Computation Technologies (ICICT)
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Author:

Veera Manikandan S¹,Abilash Y¹,Hari Prasanth S¹,Alfred Daniel J¹,Santhosh R¹

Affiliation:

1. Karpagam Academy of Higher Education,Department of Computer Science and Engineering,Coimbatore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10133935/10133936/10134373.pdf?arnumber=10134373

Reference14 articles.

1. AQI prediction using Gaussian process regression: a comparative study with neural network and multiple linear regression models;singh;Environmental Science and Pollution Research,2021

2. Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration

3. Seasonal Autoregressive Integrated Moving Average for forecasting Air Quality Index in India;mohanty;Atmospheric Pollution Research,2020

4. Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art

5. Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach

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