Biologically Inspired Computing and Networking

  in Special Issue   Posted on June 26, 2020

Information for the Special Issue

Submission Deadline: Tue 01 Sep 2020
Journal Impact Factor : 3.259
Journal Name : Mobile Networks and Applications
Journal Publisher:
Website for the Special Issue: https://www.springer.com/journal/11036/updates/18118874
Journal & Submission Website: http://www.springer.com/engineering/signals/journal/11036

Special Issue Call for Papers:

Overview:

Biologically inspired computing and networking represents an emerging research field that seeks the understanding of key principles, processes and mechanisms in biological systems and leverages the understanding to develop novel computing and networking mechanisms. In this special issue, we solicit high-quality original papers, describing recent research efforts in biologically inspired computing and networking.

Topics

Topics of interest include, but are not limited to, the following scope:

  • Neural networks
  • Evolutionary computation
  • Swarm intelligence
  • DNA computing
  • Molecular computing
  • Molecular communication
  • Computer vision
  • Brain machine interface
  • AI and machine learning
  • Big data
  • Could computing
  • IoT, wireless sensor networks, wireless body area networks
  • Information security Intelligent systems
  • Empirical studies

Important Dates

Manuscript submission deadline: September 1, 2020
Notification of acceptance: October 1, 2020
Submission of final revised paper: November 1, 2020
Publication of special issue (tentative): December 15, 2021

Submission Procedure

Authors should follow the MONET Journal manuscript format described at the journal site. Manuscripts should be submitted on-line through http://www.editorialmanager.com/mone/.

A copy of the manuscript should also be emailed to the Guest Editors at the following email addresses: yifan.chen@uestc.edu.cn, tadasi.nakano@fbs.osaka-u.ac.jp, fxlinlin@tongji.edu.cn, mahfuzm@uwgb.edu, weisi.guo@warwick.ac.uk.

Guest Editors:

  • Yifan Chen, University of Electronic Science and Technology of China
  • Tadashi Nakano, Osaka University, Japan
  • Lin Lin, Tongji University, China
  • Weisi Guo, University of Warwick, United Kingdom
  • Mohammad U. Mahfuz, University of Wisconsin-Green Bay

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