Locating multiple diffusion sources in time varying networks from sparse observations
Abstract Data based source localization in complex networks has a broad range of applications. Despite recent progress, locating multiple diffusion sources in time varying networks remains to be an outstanding problem. Bridging structural observability and sparse signal reconstruction theories, we d...
Enregistré dans:
Auteurs principaux: | Zhao-Long Hu, Zhesi Shen, Shinan Cao, Boris Podobnik, Huijie Yang, Wen-Xu Wang, Ying-Cheng Lai |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2018
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/eb976b6abec04dfcbb0a94a48c3dde42 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Inference of causal networks from time-varying transcriptome data via sparse coding.
par: Kai Zhang, et autres
Publié: (2012) -
Evaluation of time-varying working posture based on interjoint coordination features extracted from sparse structure learning
par: Kazuki HIRANAI, et autres
Publié: (2021) -
LECAR: Location Estimation-Based Congestion-Aware Routing Protocol for Sparsely Deployed Energy-Efficient UAVs
par: Imtiaz Mahmud, et autres
Publié: (2021) -
Ambient light level varies with different locations and environmental conditions: Potential to impact myopia.
par: Shashank Kishore Bhandary, et autres
Publié: (2021) -
Location and level of Etk expression in neurons are associated with varied severity of traumatic brain injury.
par: John Chung-Che Wu, et autres
Publié: (2012)