Zobrazeno 1 - 10
of 10 823
pro vyhledávání: '"Dynamic network"'
Autor:
Ningtao Wang, Jie Chen, Yanyang Chen, Liang Chen, Luhan Bao, Zhengmei Huang, Xiaoyu Han, Jiangkuo Lu, Zhengwei Cai, Wenguo Cui, Zhengwei Huang
Publikováno v:
Bioactive Materials, Vol 40, Iss , Pp 430-444 (2024)
Irregular bone defects, characterized by unpredictable size, shape, and depth, pose a major challenge to clinical treatment. Although various bone grafts are available, none can fully meet the repair needs of the defective area. Here, this study fabr
Externí odkaz:
https://doaj.org/article/5d9f0ba3af814296a417b45d10648a13
Autor:
Katarina Kostelić, Marko Turk
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-43 (2024)
Abstract This article presents a novel model for understanding the structure and dynamics of business networks, emphasizing the role of propensities to connect and cooperate as key drivers. The model incorporates behavioral elements and imperfect inf
Externí odkaz:
https://doaj.org/article/26b6e538500e4de6996fe2fc50d328e2
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 837-849 (2024)
Abstract Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐resolution. However, obtained information of these convolutional neural networks cannot completely express predicted high‐
Externí odkaz:
https://doaj.org/article/1b5fb54646ed4940ac1a75a6ad227b97
Autor:
Chunhe Jia, Botao Huang, Zhiyuan Chuai, Chao Yan, Qingwei Wang, Haolin Li, Song Zhang, Xiangyu Chen
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
The optimal scheduling of the active distribution network (ADN) is increasingly challenging due to the rising risk of ADN operation and the growth of user-side flexible resources, driven by clean energy and home device popularization. The method prop
Externí odkaz:
https://doaj.org/article/b13aa5930b3343158408bb8efb82d27a
Publikováno v:
Gut Microbes, Vol 16, Iss 1 (2024)
ABSTRACTIn the development of Type 1 diabetes (T1D), there are critical states just before drastic changes, and identifying these pre-disease states may predict T1D or provide crucial early-warning signals. Unlike gene expression data, gut microbiome
Externí odkaz:
https://doaj.org/article/219a15f351f9450e89e3b66514dbe75d
Publikováno v:
Journal of Business & Industrial Marketing, 2024, Vol. 39, Issue 8, pp. 1788-1799.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-08-2023-0461
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 6, pp. 2153-2193.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-03-2022-0420
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background There exists a critical transition or tipping point during the complex biological process. Such critical transition is usually accompanied by the catastrophic consequences. Therefore, hunting for the tipping point or critical stat
Externí odkaz:
https://doaj.org/article/3428a46b1f6e4bd1b05b176087d495f0
Publikováno v:
In Expert Systems With Applications 1 January 2025 259