Journal of Materials Science, Год журнала: 2024, Номер 59(44), С. 20824 - 20839
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of Materials Science, Год журнала: 2024, Номер 59(44), С. 20824 - 20839
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of Hazardous Materials, Год журнала: 2025, Номер 487, С. 136966 - 136966
Опубликована: Янв. 7, 2025
Язык: Английский
Процитировано
0Biomass and Bioenergy, Год журнала: 2025, Номер 195, С. 107724 - 107724
Опубликована: Фев. 18, 2025
Язык: Английский
Процитировано
0Energy Reports, Год журнала: 2025, Номер 13, С. 4163 - 4181
Опубликована: Апрель 6, 2025
Язык: Английский
Процитировано
0Resources Conservation and Recycling, Год журнала: 2025, Номер 220, С. 108381 - 108381
Опубликована: Май 14, 2025
Язык: Английский
Процитировано
0Alexandria Engineering Journal, Год журнала: 2024, Номер 112, С. 551 - 568
Опубликована: Ноя. 13, 2024
Язык: Английский
Процитировано
1Applied 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
0Academic 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
0Journal of Materials Science, Год журнала: 2024, Номер 59(44), С. 20824 - 20839
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
0