Fuzzy set–based decision support system for hydrogen sulfide removal technology selection in natural gas processing: a sustainability and efficiency perspective DOI
Abdolvahhab Fetanat,

Mohsen Tayebi

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 28, 2024

Language: Английский

Waves of change: Electrochemical innovations for environmental management and resource recovery from water – A review DOI

Sivasubramanian Manikandan,

S. Deena, Ramasamy Subbaiya

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121879 - 121879

Published: July 22, 2024

Language: Английский

Citations

6
Enhancing Hydrogen Sulfide Control in Urban Sewer Systems Using Machine Learning Models: Development of a New Predictive Simulation Approach by using Boosting Algorithm DOI
Nguyen Duc Viet,

Miran Seo,

Yue Chen

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 491, P. 137906 - 137906

Published: March 11, 2025

Language: Английский

Citations

0
A comprehensive modeling investigation of hydrogen sulfide absorption by Deep Eutectic Solvents DOI

Atefe Rajabi,

Reza Haghbakhsh, Amir Goshadrou

et al.

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127649 - 127649

Published: April 1, 2025

Language: Английский

Citations

0
Recent advances and new trends in the use of deep eutectic solvents in organic synthesis and other applications DOI
Hossein Tavakol,

Parvaneh Shafieyoon

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127510 - 127510

Published: April 1, 2025

Language: Английский

Citations

0
Modeling of heat gain through green roofs utilizing artificial intelligence techniques DOI
Qingwen Wang,

Chu Xiaohui,

Chao Yu

et al.

Energy, Journal Year: 2024, Volume and Issue: 303, P. 131898 - 131898

Published: June 1, 2024

Language: Английский

Citations

2
Performance evaluation of advanced machine learning methodologies in simulating hydrogen chloride (HCl) absorption by deep eutectic solvents DOI
Liping Liao, Zdeněk Sofer, Ping Li

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 113011 - 113011

Published: May 9, 2024

Language: Английский

Citations

1
Proposing novel predictive group and atomic contribution models for hydrogen sulfide absorption by Deep Eutectic solvents DOI

Parian Jafari,

Reza Haghbakhsh

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129229 - 129229

Published: Aug. 23, 2024

Language: Английский

Citations

1
Machine learning assisted prediction of the nitric oxide (NO) solubility in various deep eutectic solvents DOI
Hulin Jin, Yong-Guk Kim,

Zhiran Jin

et al.

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: unknown, P. 100741 - 100741

Published: Nov. 1, 2024

Language: Английский

Citations

0
Fuzzy set–based decision support system for hydrogen sulfide removal technology selection in natural gas processing: a sustainability and efficiency perspective DOI
Abdolvahhab Fetanat,

Mohsen Tayebi

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 28, 2024

Language: Английский

Citations

0