Zobrazeno 1 - 10
of 875
pro vyhledávání: '"XUE Zhe"'
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 8, Pp 625-631 (2024)
Background Complex intracranial aneurysms are one of the most difficult cerebrovascular diseases to treat, and even experienced cerebrovascular surgeons face great challenges. Intracranial - intracranial bypass with interposition graft has its unique
Externí odkaz:
https://doaj.org/article/fb5a4c4c539d4ed8bf9d22720f48033d
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 21, Iss 12, Pp 1103-1110 (2021)
Objective To compare the cerebral blood flow (CBF) changes before and after carotid endarterectomy (CEA) and carotid artery stenting (CAS) and perioperative events in patients with unilateral symptomatic carotid artery stenosis, so as to provide refe
Externí odkaz:
https://doaj.org/article/15824d5dda514ec599e4db8940868774
Decentralized learning has become crucial for collaborative model training in environments where data privacy and trust are paramount. In web-based applications, clients are liberated from traditional fixed network topologies, enabling the establishm
Externí odkaz:
http://arxiv.org/abs/2410.11378
In recent years, pre-trained multimodal large models have attracted widespread attention due to their outstanding performance in various multimodal applications. Nonetheless, the extensive computational resources and vast datasets required for their
Externí odkaz:
http://arxiv.org/abs/2404.10838
Epidemic decision-making can effectively help the government to comprehensively consider public security and economic development to respond to public health and safety emergencies. Epidemic decision-making can effectively help the government to comp
Externí odkaz:
http://arxiv.org/abs/2311.01749
The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most entity alignment methods only use graph neural network to obtain the embe
Externí odkaz:
http://arxiv.org/abs/2311.00300
Because most of the scientific literature data is unmarked, it makes semantic representation learning based on unsupervised graph become crucial. At the same time, in order to enrich the features of scientific literature, a learning method of semanti
Externí odkaz:
http://arxiv.org/abs/2311.00296
Academic networks in the real world can usually be described by heterogeneous information networks composed of multi-type nodes and relationships. Some existing research on representation learning for homogeneous information networks lacks the abilit
Externí odkaz:
http://arxiv.org/abs/2311.00922
The storage, management, and application of massive spatio-temporal data are widely applied in various practical scenarios, including public safety. However, due to the unique spatio-temporal distribution characteristics of re-al-world data, most exi
Externí odkaz:
http://arxiv.org/abs/2306.12857
It has been noticed that when the waiting time distribution exhibits a transition from an intermediate time power law decay to a long-time exponential decay in the continuous time random walk model, a transition from anomalous diffusion to normal dif
Externí odkaz:
http://arxiv.org/abs/2303.06910