Deep learning for air pollutant concentration prediction: A review

B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou… - Atmospheric …, 2022 - Elsevier
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …

Artificial intelligence for control and optimization of boilers' performance and emissions: A review

MA Nemitallah, MA Nabhan, M Alowaifeer… - Journal of Cleaner …, 2023 - Elsevier
Burning fossil fuels is a major concern for global warming control. In Saudi Arabia, steam
power plants that relay on boilers to produce the steam accounted for around 50% of the …

Combustion mechanism and ash-to-gas products of star anise residues: Atmosphere and temperature dependencies and joint optimization

T Chen, X Li, J Liang, F Evrendilek, X Wen, S Lin, J Liu - Fuel, 2023 - Elsevier
The efficient energy utilization of biomass is still being explored to lessen the heavy
dependence on fossil fuels. This study aimed at characterizing the combustion behaviors …

Prediction of oil-fired boiler emissions with ensemble methods considering variable combustion air conditions

MH Park, JJ Hur, WJ Lee - Journal of Cleaner Production, 2022 - Elsevier
Exhaust gases emitted from ships in ports pose a number of concerns. Together with the
increasing trend of logistics transportation by ships, air pollutants generated from ships in …

Application of Heterogeneous Ensemble Learning for CO2–Brine Interfacial Tension Prediction: Implications for CO2 Storage

B Shen, S Yang, J Hu, Y Gao, H Xu, X Gao… - Energy & …, 2024 - ACS Publications
Carbon capture, utilization, and storage (CCUS) is a green engineering technology to
reduce CO2 emissions and mitigate climate warming. It is crucial to accurately predict the …

Estimation of the main air pollutants from different biomasses under combustion atmospheres by artificial neural networks

TO Monteiro, AO Barradas Filho, HA Villa-Vélez… - Chemosphere, 2024 - Elsevier
The production of biofuels to be used as bioenergy under combustion processes generates
some gaseous emissions (CO, CO 2, NO x, SO x, and other pollutants), affecting living …

A review of deep leaning in image classification for mineral exploration

Y Liu, X Wang, Z Zhang, F Deng - Minerals Engineering, 2023 - Elsevier
Efficient sorting and optimal utilization have become the common core issues for today's
mining industry. Vision-based sorting technology provides a powerful answer to this …

Inverse tracing of fire source in a single room based on CFD simulation and deep learning

X Shen, Z Cao, H Liu, B Cong, F Zhou, Y Ma… - Journal of Building …, 2023 - Elsevier
Inverse tracing of fire source location is important for investigation after the fire accidents. In
this work, the CFD simulations and deep learning were combined to explore a more efficient …

A novel grey multivariate convolution model based on the improved marine predators algorithm for predicting fossil CO2 emissions in China

H Cang, X Zeng, S Yan - Expert Systems with Applications, 2024 - Elsevier
The effective prediction of fossil carbon dioxide (CO 2) emissions provides a foundation for
environmental protection authorities to make relevant management and decisions. CO 2 …

A hybrid model for vessel traffic flow prediction based on wavelet and prophet

D Wang, Y Meng, S Chen, C Xie, Z Liu - Journal of Marine Science and …, 2021 - mdpi.com
Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control.
According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT …