Performance analysis of optimized machine learning models for hydrogen leakage and dispersion prediction via genetic algorithms DOI
Junseo Lee, Sehyeon Oh, Byung-Chol Ma

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 97, P. 1287 - 1301

Published: Dec. 5, 2024

Language: Английский

An advanced spatial decision model for strategic placement of off-site hydrogen refueling stations in urban areas DOI
Akram Elomiya, Jiří Křupka, Vladimir Šimić

et al.

eTransportation, Journal Year: 2024, Volume and Issue: 22, P. 100375 - 100375

Published: Nov. 2, 2024

Language: Английский

Citations

2
Cross-national examination of facilitators and hindrances to the public acceptance of hydrogen refuelling facilities DOI
Ning Huan, Toshiyuki Yamamoto, Hitomi Sato

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105653 - 105653

Published: July 8, 2024

Language: Английский

Citations

1
Fast flow field prediction of pollutant leakage diffusion based on deep learning DOI

Wan YunBo,

Zhao Zhong,

Jie Liu

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(36), P. 49393 - 49412

Published: July 29, 2024

Language: Английский

Citations

1
Experimental study on the distributioncharacteristics of hydrogen leakage in three-dimensional parking garages DOI
Nannan Yang, Jun Deng, Tianyang Deng

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 93, P. 520 - 535

Published: Nov. 5, 2024

Language: Английский

Citations

1
Performance analysis of optimized machine learning models for hydrogen leakage and dispersion prediction via genetic algorithms DOI
Junseo Lee, Sehyeon Oh, Byung-Chol Ma

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 97, P. 1287 - 1301

Published: Dec. 5, 2024

Language: Английский

Citations

1