Title
Exploring the Role of Agent and Multi-Agent in Data Fusion Systems
Abstract
Data fusion methods reduce the effort of data processing systems and facilitate achieving optimum results for complex problems. Recently, various complex and distributed systems such as Internet of Things (IoT) systems are implemented where many sensors and data sources are allocated to collect heterogeneous data. These systems demand innovative and advanced data fusion methods. This paper present...
Year
DOI
Venue
2021
10.1109/ISAMSR53229.2021.9567851
2021 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)
Keywords
DocType
ISBN
Interactive systems,Decision making,Data integration,Systems architecture,Distributed databases,Sensor systems,Data models
Conference
978-1-6654-3632-8
Citations 
PageRank 
References 
0
0.34
0
Authors
6