Unveiling the hidden potential of Pueraria lobata: A comprehensive analysis based on fiber morphology and physicochemical properties DOI

Borui Zhu,

Fangli Huang,

Jie Guo

и другие.

Journal of Materials Science, Год журнала: 2024, Номер 59(44), С. 20824 - 20839

Опубликована: Ноя. 1, 2024

Язык: Английский

The overestimated risks for imported waste paper: based on grey interval multi-criteria decision making under uncertainties DOI

Dejin Liu,

Zeyi Chen,

Shulin Xiang

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер 487, С. 136966 - 136966

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

0

Phosphorus niches and productivity of five microalgae species in municipal sewage habitats DOI
Weixing Liu, Jing Wu, Yixin Yan

и другие.

Biomass and Bioenergy, Год журнала: 2025, Номер 195, С. 107724 - 107724

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0

Sustainable energy transitions: Evaluating microalgal biodiesel feedstocks using multi-criteria decision making techniques DOI

A Mariappan,

D. Das

Energy Reports, Год журнала: 2025, Номер 13, С. 4163 - 4181

Опубликована: Апрель 6, 2025

Язык: Английский

Процитировано

0

Integrating the impacts of ecosystem services supply-demand relationship into the SDGs implementation framework: evidence from the Belt and Road Initiative region DOI
Shiqi Tian, Dennis Afriyie, Shiyi Chen

и другие.

Resources Conservation and Recycling, Год журнала: 2025, Номер 220, С. 108381 - 108381

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0

Optimization of fatigue life of the seismic vibrator baseplate considering the coupling effect of welding residual stress DOI Creative Commons
Zhen Chen,

Qiaomu Wang,

Shulong Nie

и другие.

Alexandria Engineering Journal, Год журнала: 2024, Номер 112, С. 551 - 568

Опубликована: Ноя. 13, 2024

Язык: Английский

Процитировано

1

A Multi-Objective Evaluation Method for Smart Highway Operation and Management DOI Creative Commons
Li Li,

Yixin Long,

Chongmei Peng

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(13), С. 5694 - 5694

Опубликована: Июнь 29, 2024

Smart highways represent a novel highway concept in the era of big data, emphasizing synergy among people, vehicles, road facilities, and environment. However, operation management smart have become more intricate, surpassing adaptability traditional evaluation methods. This study integrates distinctive characteristics facilities operational objectives to enhance modernize existing system. Drawing from research on construction projects, system encompassing facility structure, electromechanical services is formulated based hierarchical analysis method. The quantitative each indicator achieved by combining specifications expert questionnaire solicitation. group decision-making method initially employed optimize subjective weights, followed calculation combined weights using both entropy weight critic objective evaluation. Finally, comprehensive model established validated through engineering projects. results demonstrate that effectively highlights advantages disadvantages highways, thereby fostering advancement iteration.

Язык: Английский

Процитировано

0

Research on Prediction of Tennis Competition Fluctuations Based on CRITIC Weight Method and CNN-LSTM Model DOI Creative Commons
Rong Wang,

Yujie Sun

Academic Journal of Science and Technology, Год журнала: 2024, Номер 12(1), С. 261 - 264

Опубликована: Авг. 20, 2024

This paper mainly studies the correlation between "momentum" index and match outcome in tennis matches, establishes a model to predict competition fluctuations. First, weights associated with were determined by CRITIC weight method, Spearman coefficient "performance coefficient" was 0.479, which indicated that there significant these two. Then, this analyzed other indicators coefficient", found successful first serve, unforced error, running distance, hitting number had an important influence on fluctuation of game. In order fluctuations, CNN LSTM combined form prediction model, good results 2023 Wimbledon data (RMSE <1). addition, used prove fluctuations player wins are not random, using at least one game explore factors change situation, laying foundation for developing predictive models. The allocation conducted explored relationship result analysis, established CNN-LSTM deep learning prediction, achieved high accuracy.

Язык: Английский

Процитировано

0

Unveiling the hidden potential of Pueraria lobata: A comprehensive analysis based on fiber morphology and physicochemical properties DOI

Borui Zhu,

Fangli Huang,

Jie Guo

и другие.

Journal of Materials Science, Год журнала: 2024, Номер 59(44), С. 20824 - 20839

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0