Unveiling the nexus between atmospheric visibility, remotely sensed pollutants, and climatic variables across diverse topographies: A data-driven exploration empowered by artificial intelligence-Reference-Cited by-同舟云学术

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Unveiling the nexus between atmospheric visibility, remotely sensed pollutants, and climatic variables across diverse topographies: A data-driven exploration empowered by artificial intelligence

Published:2024-09 Issue:9 Volume:15 Page:102200
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

Javed Sadaf,Imran Shahzad Muhammad,Shahid Imran^ORCID

Publisher

Elsevier BV

Reference105 articles.

1. Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis;Abdulalim Alabdullah;Construct. Build. Mater.,2022

2. User's guide to correlation coefficients;Akoglu;Turkish Journal of Emergency Medicine,2018

3. Climate change and associated spatial heterogeneity of Pakistan: Empirical evidence using multidisciplinary approach;Ali;Science of the Total Environment,2018

4. Feature selection on educational data using Boruta algorithm;Anand;Int. J. Comput. Intell. Stud.,2021

5. Machine learning approach for predicting the peak temperature of dissimilar AA7050-AA2014A friction stir welding butt joint using various regression models;Anandan;Mater. Lett.,2022

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