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Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability

https://doi.org/10.2139/ssrn.4790794
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s42965-022-00291-5openalex-extracted
A rapid assessment of stubble burning and air pollutants from satellite observations
inferredcites →https://doi.org/10.1016/j.atmosres.2019.05.012openalex-extracted
Air quality during and after festivals: Aerosol concentrations, composition and health effects
inferredcites →https://doi.org/10.1016/j.chemosphere.2018.12.128openalex-extracted
Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction
inferredcites →https://doi.org/10.1016/j.chemosphere.2023.139518openalex-extracted
Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam
inferredcites →https://doi.org/10.1016/j.dche.2023.100093openalex-extracted
Air Quality Index prediction using machine learning for Ahmedabad city
inferredcites →https://doi.org/10.1016/j.ecoinf.2019.101019openalex-extracted
Predicting air quality with deep learning LSTM: Towards comprehensive models
inferredcites →https://doi.org/10.1016/j.envpol.2017.08.114openalex-extracted
Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation
inferredcites →https://doi.org/10.1016/j.eswa.2016.12.035openalex-extracted
Learning from class-imbalanced data: Review of methods and applications
inferredcites →https://doi.org/10.1016/s2542-5196(18)30261-4openalex-extracted
The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-extracted
Random Forests
inferredcites →https://doi.org/10.1073/pnas.1900888116openalex-extracted
Indian annual ambient air quality standard is achievable by completely mitigating emissions from household sources
inferredcites →https://doi.org/10.1155/2020/8914501openalex-extracted
Short-Term Air Quality Prediction Based on Fractional Grey Linear Regression and Support Vector Machine
inferredcites →https://doi.org/10.1155/2022/4649510openalex-extracted
Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer
inferredcites →https://doi.org/10.1186/s40537-021-00516-9openalex-extracted
A survey on missing data in machine learning
inferredcites →https://doi.org/10.12944/cwe.13.1.02openalex-extracted
Respirable Mercury Particulates and Other Chemical Constituents in Festival Aerosols in Delhi
inferredcites →https://doi.org/10.1364/oe.18.001927openalex-extracted
Data filtering with support vector machines in geometric camera calibration
inferredcites →https://doi.org/10.1371/journal.pone.0200371openalex-extracted
Estimates of air pollution in Delhi from the burning of firecrackers during the festival of Diwali
inferredcites →https://doi.org/10.2478/jengeo-2020-0009openalex-extracted
Assessing the Immediate Effect of Covid-19 Lockdown on Air Quality: A Case Study of Delhi, India
inferredcites →https://doi.org/10.3389/fpubh.2020.00014openalex-extracted
Environmental and Health Impacts of Air Pollution: A Review
inferredcites →https://doi.org/10.48550/arxiv.1611.01276openalex-extracted
A Communication-Efficient Parallel Algorithm for Decision Tree

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inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.180593openalex-snapshot
Machine learning for air quality prediction and data analysis: Review on recent advancements, challenges, and outlooks
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