Results 221 to 230 of about 124,084 (274)

Omics-based large language models: A new engine for drug discovery innovation. [PDF]

Acta Pharm Sin B
Sheng X, Zhang X, Xing Y, Shi Y, Zeng C, Tong X, Zheng M, Li X.   +7 more
europepmc   +1 more source

Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery. [PDF]

EJNMMI Res
Almaslamani M, Yang J, Kang CS, Kang CM, Park JM, Woo SK.   +5 more
europepmc   +1 more source

Transfer learning enables discovery of sub-micromolar antibacterials for ESKAPE pathogens from ultra-large chemical spaces. [PDF]

Chem Sci
García-Ortegón M, Seal S, Geddes E, Littler JL, Guy CS, Whiteside J, Rasmussen C, Bender A, Bacallado S.   +8 more
europepmc   +1 more source

Condensation of Force Field Parameters from Machine Learning Predicted Distributions for High-Throughput Virtual Screening Applications. [PDF]

J Chem Inf Model
Bonanni D, Zhang Y, Gadioli D, Scarpellini G, Morerio P, Del Bue A, Beccari AR, Palermo G.   +7 more
europepmc   +1 more source

MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments. [PDF]

Proc ACM Int Conf Inf Knowl Manag
Duan Z, Li X, Xiao Z, Ying R, Zhang J.
europepmc   +1 more source

Multi-access edge computing scheduling optimization model for remote education under 6G network environment based on reinforcement learning. [PDF]

Sci Rep
Jin L, Gao X, Wang J, Yuan S.
europepmc   +1 more source

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Rethinking virtual network embedding

ACM SIGCOMM Computer Communication Review, 2008
Network virtualization is a powerful way to run multiple architectures or experiments simultaneously on a shared infrastructure. However, making efficient use of the underlying resources requires effective techniques for virtual network embedding--mapping each virtual network to specific nodes and links in the substrate network.
Yu, ML Yu, Minlan, Yi, Y Yi, Yung, Rexford, J Rexford, Jennifer, Chiang, M Chiang, Mung   +3 more
openaire   +1 more source

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

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, Sheng Zhang
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, Nong Xiao, Qiang Liu, Zhiying Wang   +4 more
openaire   +1 more source