[HTML][HTML] Scenario analysis of strategies to control air pollution

H Relvas, D Lopes, J Ferreira, A Silva, S Rafael… - Urban Climate, 2022 - Elsevier
Air quality in Europe has been improving over the last decades. Notwithstanding, urban
areas are still facing exceedances of the Air Quality Directive's limit and target values. In this …

[PDF][PDF] Effect of different dyed fabrics on the adsorption of air pollution in residential and industrial atmosphere in cairo-egypt

AG Hassabo, S Galal, A Elmekawy… - Letters in Applied …, 2024 - nanobioletters.com
Various dyed natural and synthetic textiles (silk, wool, cotton, nylon, polyester), as well as
their blends (wool/polyester, nylon/polyester, and nylon/polyester), were on display for four …

Integration of Carbon Dioxide Removal (CDR) Technology and Artificial Intelligence (AI) in Energy System Optimization

G Li, T Luo, R Liu, C Song, C Zhao, S Wu, Z Liu - Processes, 2024 - mdpi.com
In response to the urgent need to address climate change and reduce carbon emissions,
there has been a growing interest in innovative approaches that integrate AI and CDR …

[HTML][HTML] Bibliometric analysis for sustainable food waste using multicriteria decision

IB Priyambada, MA Budihardjo, S Al Qadar… - Global Journal of …, 2023 - gjesm.net
Sustainable food waste management is globally concerning, thus necessitating cutting-edge
approaches and a thorough understanding. To address this complicated problem effectively …

Enhancing air quality forecasting: a novel spatio-temporal model integrating graph convolution and multi-head attention mechanism

Y Wang, K Liu, Y He, P Wang, Y Chen, H Xue… - Atmosphere, 2024 - mdpi.com
Forecasting air quality plays a crucial role in preventing and controlling air pollution. It is
particularly significant for improving preparedness for heavily polluted weather conditions …

Quantifying the impacts of Canadian wildfires on regional air pollution networks

T McCracken, P Chen, A Metcalf, C Fan - Science of The Total Environment, 2024 - Elsevier
Wildfire smoke greatly impacts regional atmospheric systems, causing changes in the
behavior of pollution. However, the impacts of wildfire smoke on pollution behavior are not …

[HTML][HTML] Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment

G Hu, N Prasianakis, SV Churakov… - Applied Thermal …, 2024 - Elsevier
This study centers on the critical aspect of thermal management in deep geological
repositories, particularly concerning the heat induced by radioactive nuclear waste. It …

[HTML][HTML] Reliable AI models can reveal key processes of heat recovery steam generator operation in air pollutant emission

S Choi, KH Lee, JH Park, S Jeon, HJ Lee… - Journal of Cleaner …, 2024 - Elsevier
Artificial intelligence (AI) algorithms have been applied to air pollution prediction modeling,
but assessment of their trustworthiness is lacking. This study aims to examine whether AI …

An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran

M Rezaali, MS Jahangir, R Fouladi-Fard, D Keellings - Urban Climate, 2024 - Elsevier
This study proposes a novel framework for spatiotemporal forecasting of Ground-level
Ozone Concentration (GOC) using advanced machine learning techniques, including …

[HTML][HTML] Factor-Augmented Autoregressive Neural Network to forecast Nox in the city of Madrid

G Fernández-Avilés, R Mattera, G Scepi - Socio-Economic Planning …, 2024 - Elsevier
Air pollution poses a significant threat to public health and the environment in urban areas
worldwide. In the context of urban air quality, nitrogen oxides (NOx), comprising nitrogen …