galley
发表于 2025-3-27 00:35:15
http://reply.papertrans.cn/24/2331/233084/233084_31.png
Notify
发表于 2025-3-27 01:59:41
http://reply.papertrans.cn/24/2331/233084/233084_32.png
胎儿
发表于 2025-3-27 05:24:22
https://doi.org/10.1057/9781137329417etworks is difficult and is mostly done with a static approach, neglecting time delayed interdependences. Tensors are objects that naturally represent multilayer networks and in this paper, we propose a new methodology based on Tucker tensor autoregression in order to build a multilayer network dire
得罪
发表于 2025-3-27 11:29:59
Kosta Kostadinov,Jagadish Thakered combining time-distributed observations with a dynamic model in an optimal way. The typical assimilation scheme is made up of two major steps: a . and a . of the prediction by including information provided by observed data. This is the so called .-. cycle. Classical methods for DA include Kalman
亲爱
发表于 2025-3-27 17:30:16
http://reply.papertrans.cn/24/2331/233084/233084_35.png
Hallmark
发表于 2025-3-27 17:51:03
https://doi.org/10.1057/9781137329417de classification, as well as community detection tasks, are still open research problems in SNA. Hence, SNA has become an interesting and appealing domain in Artificial Intelligence (AI) research. Immanent facts about social network structures can be effectively harnessed for training AI models in
Muffle
发表于 2025-3-28 01:41:40
Amadou Thierno Diallo,Ahmet Suayb Gundogdu nature of real systems, it is very difficult to predict data: a small perturbation from initial state can generate serious errors. Data Assimilation is used to estimate the best initial state of a system in order to predict carefully the future states. Therefore, an accurate and fast Data Assimilat
津贴
发表于 2025-3-28 02:43:38
http://reply.papertrans.cn/24/2331/233084/233084_38.png
macular-edema
发表于 2025-3-28 09:56:00
https://doi.org/10.1007/978-3-030-50433-5artificial intelligence; computer networks; genetic algorithms; image processing; machine learning; mathe
连词
发表于 2025-3-28 11:27:23
978-3-030-50432-8Springer Nature Switzerland AG 2020