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Unified protein-small molecule graph neural networks for binding site prediction. [PDF]

Proc Natl Acad Sci U S A
Wang J, Dokholyan NV.
europepmc   +1 more source

AI accelerate the identification of druggable targets by 3D structures of proteins and compounds. [PDF]

NPJ Precis Oncol
Li D, Shi S, Yu Z, Xu P, Zhang C.
europepmc   +1 more source

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies. [PDF]

Sci Rep
Mohammed KK, Abdo AS, Darwish A, Hassanien AE.   +3 more
europepmc   +1 more source

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Network Function Virtualization

IEEE Internet Computing, 2016
Network function virtualization (NFV) is a series of upcoming technologies that allow the high-volume packet-processing functions forming the modern Internet's core to be virtualized, so that they can run on commodity cloud computing platforms. This special issue of IEEE Internet Computing highlights some of the opportunities, challenges, and solutions
Ken Gray, Thomas D. Nadeau
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Virtual Network Function Placement with Function Decomposition for Virtual Network Slice

2018 IEEE Conference on Standards for Communications and Networking (CSCN), 2018
Virtual network functions (VNFs) are placed across the network to complete the required network performance of virtual network slice (vNS), and the placement of VNFs is flexible and problematic. Besides, a VNF can be decomposed into multiple sub-functions, and the same type of sub-function can be re-used by multiple VNFs.
Defang Li, Peilin Hong, Wenzhe Wang, Jianing Pei   +3 more
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Virtualizing the Network Services: Network Function Virtualization

2017
Network function virtualization (NFV) is rapidly emerging as the de facto approach operators will use to deploy their networks. NFV leverages on cloud computing principles to change the way NFs like gateways and middleboxes are offered. As opposed to today’s tightly coupling between the NF software and dedicated hardware, NFV concept requires the ...
Mojtaba Vaezi, Ying Zhang
openaire   +1 more source