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Real-time dynamic network learning for location inference modelling and computing

Version 2 2024-06-05, 02:26
Version 1 2021-11-15, 15:44
journal contribution
posted on 2024-06-05, 02:26 authored by Jianxin LiJianxin Li, A Sun, Z Guan, MA Cheema, G Min
User location information contributes to in-depth social network data analytics. This special issue focuses on emerging techniques and trendy applications of real-time dynamic network learning in the fields such as neural network, dynamic network, spatial feature pattern recognition, and active learning. The research included at this special issue will also advance the location based services in real applications.

History

Journal

Neurocomputing

Volume

472

Pagination

198-200

ISSN

0925-2312

eISSN

1872-8286

Language

English

Publication classification

C4 Letter or note

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ELSEVIER

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