Complex brain activity analysis and recognition based on multiagent methods-Reference-Cited by-同舟云学术

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Complex brain activity analysis and recognition based on multiagent methods

Published:2020-06-13 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhang Hao Lan¹²^ORCID,Liu Jiming³,Dowens Margaret G.⁴

Affiliation:

1. School of Computer and Data EngineeringNingbo Institute of Technology, Zhejiang University Ningbo China

2. Ningbo Research Institute, Zhejiang University Ningbo China

3. Department of Computer ScienceHong Kong Baptist University Kowloon Tong Hong Kong

4. School of EnglishThe University of Nottingham, Ningbo Campus Nottingham China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5855

Reference32 articles.

1. ZhangHL ZhaoH CheungYHeJ. Generating EEG graphs based on PLA for brain wave pattern recognition. Paper presented at: Proceedings of the IEEE Congress on Evolutionary Computation (CEC);2018:1‐7.

2. Utilizing BDI agents and topological theory for mining on online social networks;Zhang HL;Fund Inform,2013

3. Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks

4. Blending event‐based and multi‐agent systems around coordination abstractions;Mariani S;Lect Notes Comput Sci,2015

5. An under‐sampled software defect prediction method based on hybrid multi‐objective cuckoo search

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