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Novel framework for small-world network connectivity analysis for MEG data

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Main Authors: Rasheed, Waqas, Tang, Tong Boon, Hamid, Nor Hisham Bin
Format: Conference or Workshop Item
Published: 2014
Online Access:http://scholars.utp.edu.my/id/eprint/36575/
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id oai:scholars.utp.edu.my:36575
record_format eprints
spelling oai:scholars.utp.edu.my:365752023-06-19T04:18:28Z http://scholars.utp.edu.my/id/eprint/36575/ Novel framework for small-world network connectivity analysis for MEG data Rasheed, Waqas Tang, Tong Boon Hamid, Nor Hisham Bin 2014 Conference or Workshop Item NonPeerReviewed Rasheed, Waqas and Tang, Tong Boon and Hamid, Nor Hisham Bin (2014) Novel framework for small-world network connectivity analysis for MEG data. In: 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS).
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Conference or Workshop Item
author Rasheed, Waqas
Tang, Tong Boon
Hamid, Nor Hisham Bin
spellingShingle Rasheed, Waqas
Tang, Tong Boon
Hamid, Nor Hisham Bin
Novel framework for small-world network connectivity analysis for MEG data
author_facet Rasheed, Waqas
Tang, Tong Boon
Hamid, Nor Hisham Bin
author_sort Rasheed, Waqas
title Novel framework for small-world network connectivity analysis for MEG data
title_short Novel framework for small-world network connectivity analysis for MEG data
title_full Novel framework for small-world network connectivity analysis for MEG data
title_fullStr Novel framework for small-world network connectivity analysis for MEG data
title_full_unstemmed Novel framework for small-world network connectivity analysis for MEG data
title_sort novel framework for small-world network connectivity analysis for meg data
publishDate 2014
url http://scholars.utp.edu.my/id/eprint/36575/
_version_ 1769845525836726272
score 13.214268

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