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Non-Destructive Detection of Internal Quality of Sanhua Plum Based on Multi-Source Information Fusion. [PDF]

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Zheng W, Xu S, Liang X, Lu H, Wu P.
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Multi-source data fusion for economic data analysis

Neural Computing and Applications, 2020
Economic data include data of various types and characteristics such as macro-data, meso-data, and micro-data. The source of economic data can be the data related to economy held by the National Bureau of statistics and a various software. These multi-source and heterogeneous data have important value for economic analysis and forecasting. Taking into
Menggang Li, Fang Wang, Xiaojun Jia, Wenrui Li, Ting Li, Guangwei Rui   +5 more
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Multi-source heterogeneous data fusion

2018 International Conference on Artificial Intelligence and Big Data (ICAIBD), 2018
As the exponential growth of data in internet era, there comes the big data era. Big data fusion creates huge values that makes it a research hotspot. However, in big data era, data shows characters of large volume, velocity, veracity and especially variety which is also called heterogeneity.
Lili Zhang, Yuxiang Xie, Luan Xidao, Xin Zhang   +3 more
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Study on Traffic Multi-Source Data Fusion

International Journal of Cognitive Informatics and Natural Intelligence, 2019
In order to alleviate urban traffic congestion, it is necessary to obtain roadway network traffic flow parameters to estimate the traffic conditions. Single-detector data may not be sufficient to obtain a comprehensive, effective, accurate and high-quality traffic flow data.
Suping Liu, Dongbo Zhang, Jialin Li
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A General Multi-Source Data Fusion Framework

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019
With the development of the Internet, the increase of information sources and speed of information release and transmission have led to a sharp increase in the amount of information. To enable users finding more accurate and reliable information in the large heterogeneous multi-source data, data fusion technology becomes more and more important.
Weiming Liu, Chen Zhang, Bin Yu, Yitong Li   +3 more
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A Multi-source Sensor Data Fusion System

Twenty-Second Asilomar Conference on Signals, Systems and Computers, 2005
The Prototype Information Correlation Exploitation System (PICES) is an integrated tracking, data correlation, and multi-frequency multi-sensor data fusion system that automatically generates scene hypotheses (possibilities due to information ambiguities) and ranks them on the basis of all information available to the system at a given time. This paper
J.J. Fitchek, J.P. Lee, D.F. Herring
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Multi-Source Information Fusion Based on Data Driven

Applied Mechanics and Materials, 2010
Take data driven method as theoretical basis, study multi-source information fusion technology. Using online and off-line data of the fusion system, does not rely on system's mathematical model, has avoided question about system modeling by mechanism.
Xin Zhang, Li Yang, Yan Zhang
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Conflicts Resolving for Fusion of Multi-source Data

2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 2019
Data exits in a variety of sources. To make use of data, we need to get a unified form of data from multi-source, this is what data fusion should resolve. However, conflicts may arise among these sources. Existing conflict resolution work does have solved some issues, but it's not enough.
Yuanqi Yang, Lize Gu, Xiaoning Zhu
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