Estimation of Surface-Level NO2 Using Satellite Remote Sensing and Machine Learning: A review

MA Siddique, E Naseer, M Usama… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Nitrogen dioxide (NO2) is one among several constituents of air pollution. To restrict its
surface-level concentration to within the limits prescribed by regulatory authorities …

MSFSAN: A Novel Multi-Scale Spatio-Temporal Feature Screening Attention Network for Urban Carbon Emission Prediction

B Wang, X Qin, J Qin, X Zhang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In order to cope with the increasingly severe global energy conservation and emission
reduction problems, research on urban carbon emission prediction is of great significance …

Predicting Atmospheric Air Pollution: A Convolutional-Transformer Approach for Spatial and Temporal Analysis of PM2. 5

J Kalra, P Muthukumar, S Pathak… - 2023 Congress in …, 2023 - ieeexplore.ieee.org
6.7 million premature deaths occur annually due to household and ambient air pollution. Air
pollution affects individuals globally and can be derived from a variety of factors including …

Using Deep Learning for Spatial and Temporal Analysis of Wildfire Start and Progression

P Muthukumar, J Kalra, S Pathak… - 2023 International …, 2023 - ieeexplore.ieee.org
Wildfires pose a significant threat to ecosystems, public safety, and property, and
understanding the spatial and temporal patterns of their occurrence is of paramount …

IMPLEMENTASI BIG DATA ANALYTICS DALAM KLASIFIKASI KUALITAS UDARA MENGGUNAKAN ALGORITMA GRADIENT-BOOSTED TREE CLASSIFIER PADA …

MF Asnawi, N Fitriyanto… - … and Computer Science, 2025 - journal.nacreva.com
This study aims to classify air quality based on PM1. 0, PM2. 5, and PM10 parameters using
a Big Data Analytics approach with the Gradient-Boosted Tree Classifier (GBT) algorithm …