A general framework of multiple coordinative data fusion modules for real-time and heterogeneous data sources

A general framework of multiple coordinative data fusion modules for real-time and heterogeneous data sources

Designing a data-responsive system requires accurate input to ensure efficient results. The growth of technology in sensing methods and the needs of various kinds of data greatly impact data fusion (DF)-related study. A coordinative DF framework entails the participation of many subsystems or module...

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Bibliographic Details
Main Authors: Kashinath Shafiza Ariffin, Mostafa Salama A., Lim David, Mustapha Aida, Hafit Hanayanti, Darman Rozanawati
Format: Article
Language:English
Published: De Gruyter 2021-08-01
Series:Journal of Intelligent Systems
Subjects:
data fusion
heterogeneous data
real-time processing
traffic state estimation
software agent
fuzzy logic
Online Access:https://doi.org/10.1515/jisys-2021-0083

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