Zobrazeno 1 - 10
of 3 034
pro vyhledávání: '"Model integration"'
Autor:
Zhang J, Tang Y, Feng S, Wong IN, Guo Y, Chen J, Yang D, Zhang K, Yao W, Li R, Bai Y, Ding S, Kuang M, Xiao H, Xu D
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 15, Pp 1027-1037 (2024)
Jianrong Zhang,1,* Yiyu Tang,1 Shaoting Feng,1,* Io Nam Wong,2,* Yue Guo,1 Jun Zhang,1 Jiancong Chen,1 Daya Yang,1 Kunsong Zhang,1 Wenbao Yao,1 Rong Li,1 Yaying Bai,1 Shuqin Ding,1 Ming Kuang,1 Haipeng Xiao,1 Dan Xu1,3,* 1Department o
Externí odkaz:
https://doaj.org/article/3c942ec527cb4df98c444770a619f501
Autor:
Vinicius Bischoff, Kleinner Farias
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 7, Pp 880-908 (2024)
Feature model integration is pivotal in software development, particularly in evolving software product lines through new feature accommodations. Despite its significance, the influence of developers’ experience on integration efforts and correctne
Externí odkaz:
https://doaj.org/article/b23ec8d530c947ce86a5260b45364ad0
Publikováno v:
暴雨灾害, Vol 43, Iss 1, Pp 54-62 (2024)
The terrain and landform of the Sichuan Basin are complex, which also make the forecast of heavy rainfall challenging, therefore the correction of the model precipitation forecast products is the crucial method to improve the quality of heavy rainfal
Externí odkaz:
https://doaj.org/article/c6afec6b06dd4e0c9325e53623b36271
Autor:
Boliang Sun, Chao Chen
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8716 (2024)
In the fields of machine learning and artificial intelligence, the processing of time-series data has been a continuous concern and a significant algorithm for intelligent applications. Traditional deep-learning-based methods seem to have reached per
Externí odkaz:
https://doaj.org/article/3ddfdc1ae63748b2bb4ad70ee23799c3
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
With the increase of extreme weather events such as cold waves, power transmission line icing has become more and more severe, affecting the safe and stable operation of power systems. Thus, icing prediction has become crucial for power grids. In thi
Externí odkaz:
https://doaj.org/article/ae4b53112d2a487da560f3f887cd3b69
Autor:
Qiang Ge, Liying Wang
Publikováno v:
Water Policy, Vol 25, Iss 9, Pp 869-888 (2023)
The bi-level programming coupling model of uncertainty constraints and interval parameter programming is developed to optimize the allocation of water resources and conduct a comprehensive analysis of water resource carrying capacity. The model uses
Externí odkaz:
https://doaj.org/article/b43bc58316b94262aa0cf41c308b402c
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 7, Pp 2122-2132 (2023)
Floods in the middle reaches of Yangtze River threaten millions of people and cause casualties and economic losses. Yet, the prediction of floods especially on the sub-seasonal scale in this region is still challenging. To better predict the floods d
Externí odkaz:
https://doaj.org/article/b347178c193a4044b6e4dfab66bb829b
Publikováno v:
工程科学学报, Vol 45, Iss 3, Pp 407-418 (2023)
Machine learning algorithms are widely used to predict the corrosion rate of materials in a specific environment. However, the interpretability of such black-box models is poor, which hinders their application in the field of material corrosion. Ther
Externí odkaz:
https://doaj.org/article/679ced10f4024a4ba75c1d35b2b9eae3
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/694ced38407443a79eb4bc48edb973dc
Publikováno v:
工程科学学报, Vol 45, Iss 1, Pp 128-136 (2023)
Sudden transition is a widely existing phenomenon in engineering practice. When the state of the system experiences sudden abrupt transition, calculus-based traditional mathematical modeling methods has low accuracy. Although theoretically, machine l
Externí odkaz:
https://doaj.org/article/af1e960eb40146bda447bff42050f011