Study on the mining method for specific fault data of multimedia sensor networks in cloud computing environment-Reference-Cited by-同舟云学术

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Study on the mining method for specific fault data of multimedia sensor networks in cloud computing environment

Published:2016-07-05 Issue:16 Volume:76 Page:17113-17128
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lang Liao,Yonghong Huang,Xingming Liu

Funder

guangdong province natural science foundation project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-016-3671-0/fulltext.html

Reference28 articles.

1. Abaei G, Selamat A, Fujita H (2015) An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction[J]. Knowl-Based Syst 74:28–39

2. Abdi A, Heinonen S, Juhlin C et al (2015) Constraints on the geometry of the suasselkä post-glacial fault, northern Finland, based on reflection seismic imaging[J]. Tectonophysics 649:130–138

3. Ahmed E, Qadir J, Baig A (2015) High-throughput transmission-quality-aware broadcast routing in cognitive radio networks[J]. Wirel Netw 21(4):1193–1210

4. Al-Ariki HDE, Swamy MNS (2016) A survey and analysis of multipath routing protocols in wireless multimedia sensor networks[J]. Wirel Netw

5. Audet P, Pinno BD, Thiffault E (2015) Reclamation of boreal forest after oil sands mining: anticipating novel challenges in novel environments[J]. Can J For Res 45(3):364–371

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