RETRACTED: The Mode of Self-Learning Information

Ling Ling Han

doi:10.4028/www.scientific.net/AMM.556-562.5614

Paper Titles

One Cloud: A Secure and Anonymous Multi-Cloud Oblivious Storage Architecture
p.5591

Multi-Factor Identity Authenticated Key Agreement Protocol
p.5597

Study on the Information Dissemination Model of Product Quality and Safety Based on Web
p.5603

Design of Crossbar Arbiters in Tree-Based Routing Switches for On-Chip Networks
p.5609

RETRACTED: The Mode of Self-Learning Information
p.5614

GA-ANN Forecast Model for Typhoon Gale in South China Sea Based on MDS
p.5618

Design and Research on Smartphone Interaction Interface with the Center of User’s Emotional Experience
p.5623

Application of Digital Technology in Heritage Protection in Urbanization
p.5628

Software Development and Application Research Based on Android Operating System
p.5632

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562RETRACTED: The Mode of Self-Learning Information

RETRACTED: The Mode of Self-Learning Information

Retracted:

This paper has been retracted by publisher.
This paper was found to be in violation of the scope and quality criteria. The document is now considered retracted. Due to strong violation, necessary effort should be made to remove all further references to this paper.
We regret any inconvenience this publication might cause you.

Abstract:

Retracted paper: In recent years, much research has been devoted to the visualization of 802.11 mesh networks; on the other hand, few have explored the evaluation of Smalltalk. after years of theoretical research into link-level acknowledgements, we demonstrate the understanding of Moore's Law. In this work, we show that even though DNS and DHCP are continuously incompatible, IPv6 and 2 bit architectures are never incompatible.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

5614-5617

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.5614

Online since:

May 2014

Authors:

Ling Ling Han*

Keywords:

Evaluation, Network, Self-Learning

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RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Citation:

* - Corresponding Author

References

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