Assessing the Economic Viability of Prolonged Fuel Cycles in the Agricultural Sector: Impacts on Productivity and Sustainability DOI Creative Commons

Zhan Hang

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e39594 - e39594

Published: Oct. 22, 2024

Language: Английский

Does the disparity between rural and urban incomes affect rural energy poverty? DOI Creative Commons

yinuo wang,

Muhammad Umair, Aizhan Sarsenovna Assilova

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 56, P. 101584 - 101584

Published: Nov. 1, 2024

Language: Английский

Citations

30

Optimizing hydrogen integration in vehicle fuel systems for sustainable development: A step towards economic decarbonization DOI
Muhammad Khalid Anser, Sajid Ali, Muhammad Umair

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 98, P. 321 - 333

Published: Dec. 9, 2024

Language: Английский

Citations

24

Techno-economic evaluation of solar photovoltaic power production in China for sustainable development and the environment DOI
Yuhang Wang, Seoyeon Lee, Chuanyang Li

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Language: Английский

Citations

23

Impact of emerging technologies on corporate social responsibility in mining industry DOI
Muhammad Zeeshan Haroon, Mirzat Ullah,

LI Zhan-qiang

et al.

Resources Policy, Journal Year: 2025, Volume and Issue: 102, P. 105454 - 105454

Published: Feb. 19, 2025

Language: Английский

Citations

2

Evaluating the influence of environmental regulations on green economic growth in China: A focus on renewable energy and energy efficiency guidelines DOI Creative Commons
Lu Chen,

Umriya Kenjayeva,

Gang Mu

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 56, P. 101544 - 101544

Published: Oct. 19, 2024

Language: Английский

Citations

8

Energy efficiency and emission flexibility: Management and economic insights for renewable energy integration DOI Creative Commons
Abid Hussain, Alida Huseynova, Yegana Hakimova

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 57, P. 101631 - 101631

Published: Jan. 1, 2025

Language: Английский

Citations

1

Transitioning the mining industry to a greener economy: An Asian perspective of mineral demand DOI
Yang Song, Yu Cheng, Cosimo Magazzino

et al.

Resources Policy, Journal Year: 2025, Volume and Issue: 102, P. 105483 - 105483

Published: Feb. 4, 2025

Language: Английский

Citations

1

Modern panelizing and optimization techniques for renewable energy projects; perspectives on how CO emissions impact the circular economy DOI

Xiumin Zheng,

Muhammad Imran, Muhammad Umair

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135881 - 135881

Published: March 1, 2025

Language: Английский

Citations

1

Pollution havens in high-income emerging nations: Can green energy, financial development and environmental rules change this? DOI Creative Commons
Xiaoqian Zhang,

Linglu Linjin

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 57, P. 101635 - 101635

Published: Jan. 1, 2025

Language: Английский

Citations

0

Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data DOI Creative Commons
Tian Xia, Luyao Zhou,

Khalil Ahmad

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0317914 - e0317914

Published: Feb. 6, 2025

Regarding the transportation of people, commodities, and other items, aeroplanes are an essential need for society. Despite generally low danger associated with various modes transportation, some accidents may occur. The creation a machine learning model employing data from autonomous-reliant surveillance transmissions is detection prediction commercial aircraft accidents. This research included development abnormal categorisation models, assessment recognition quality, anomalies. methodology consisted following steps: formulation problem, selection labelling, construction prediction, installation, testing. tagging technique was based on requirements set by Global Aviation Organisation business jet-engine aircraft, which expert pilots then validated. 93% precision demonstrated excellent match most effective model, linear dipole Furthermore, "good fit" verified its achieved area-under-the-curve ratios 0.97 identification 0.96 daily detection.

Language: Английский

Citations

0