Highlights What are the main findings? LightGBM, among the selected black-box models,
was identified as requiring explanation due to its performance in solar power generation …

Forecasting the future levels of air pollution provides valuable information that holds
importance for the general public, vulnerable populations, and policymakers. High-quality …

Based on outdoor air pollution and meteorological daily time series observational and in-situ
monitoring data, this study investigated the impacts of environmental factors under different …

Tehran, the most crowded city in Iran, suffers from severe air pollution, particularly during the
cold months. This research endeavored to examine the statistical relationships between …

As a significant global concern, air pollution triggers enormous challenges in public health
and ecological sustainability, necessitating the development of precise algorithms to …

The rapid identification of the amount and characteristics of chemical oxygen demand (COD)
in influent water is critical to the operation of wastewater treatment plants (WWTPs) …

As the urgency of PM2. 5 prediction becomes increasingly ingrained in public awareness,
deep-learning methods have been widely used in forecasting concentration trends of PM2. 5 …

PM 2.5 air pollution poses a global health and environmental crisis, with major impacts on
human health, ecosystems, and climate change. Thailand, like many regions worldwide …

Aims The primary aim was to determine the association between particulate matter 2.5
(PM2. 5) concentration at municipality‐level and severe periodontitis among adults. A …

Environmental pollution indicated by the presence of PM 2.5 particulate matter varies based
on prevailing atmospheric conditions described by certain meteorological variables …