Results 241 to 250 of about 14,235 (282)

Deep learning-based prediction of gene expression from histopathology identifies NR5A1 as a candidate biomarker and druggable target in high-grade serous ovarian carcinoma. [PDF]

J Ovarian Res
Lingasamy P, Ostrowska-Leśko M, Tsakalis P, Patel N, Chamatidis I, Sudhakaran SL, Kubik J, Bobiński M, Lagaros ND, Salumets A, Modhukur V.   +10 more
europepmc   +1 more source

A conformational benchmark for optical property prediction with solvent-aware graph neural networks. [PDF]

Commun Chem
Potapov D, Rogovoi S, Khrabrov K, Ushenin K, Korovin A, Ber A, Kadurin A, Tsypin A.   +7 more
europepmc   +1 more source

In Response To: OphthoACR (Ophthalmology Automated Chart Review): An AI-Powered Tool for Complete Automation of Ophthalmology Chart Reviews and Cohort Data Analysis. [PDF]

Transl Vis Sci Technol
Bair H.
europepmc   +1 more source

Editorial: Co-Creating Community-Living Interventions for Sustainable Cancer Control Programs: Meeting the Community Where They Are to Address Cancer Burden. [PDF]

Cancer Control
Odedina FT, Thompson H, Ashing KT.
europepmc   +1 more source

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Resilient virtual network embedding

2013 IEEE International Conference on Communications (ICC), 2013
Our focus, in this paper is on the embedding problem which consists on the mapping of Virtual Network (VN) resources onto physical infrastructure network. In relevant literature, number of works have been proposed to solve this challenging problem. However, few proposals have been dedicated to provide backup mapping mechanism for failing physical links.
Abdallah Jarray, Yihong Song, Ahmed Karmouch   +2 more
openaire   +1 more source

Virtual Network Embedding for Evolving Networks

2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010
Network virtualization has been proposed as a powerful vehicle for running multiple customized networks on a shared infrastructure. Virtual network embedding is a critical step for network virtualization that deals with efficient mapping of virtual nodes and virtual links onto the substrate network resources.
Zhiping Cai, Fang Liu 0002, Nong Xiao 0001, Qiang Liu 0004, Zhiying Wang 0003   +4 more
openaire   +1 more source

Embedding parallelizable virtual networks

Computer Communications, 2017
Network virtualization has been the focus of intense research interest for the last decade as it provides a promising approach to overcome the ossification of the Internet. An important problem in network virtualization is how to efficiently embed virtual networks with resource constraints into a substrate network (aka. virtual network embedding). Many
Yu Liang 0001, Sheng Zhang 0001
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