Xi'an Gongcheng Daxue xuebao, 2023 The interconnection of medical information networks results in extremely complex network architectures, and the current management level of multi-source heterogeneous data generated by such networks is difficult to meet the requirements of ...
LI Lin, WANG Wei
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A graph-based approach to multi-source heterogeneous information fusion in stock market.
PLoS ONE, 2022 The stock market is an important part of the capital market, and the research on the price fluctuation of the stock market has always been a hot topic for scholars. As a dynamic and complex system, the stock market is affected by various factors. However,
Jun Wang +3 more
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Multi-Source Multi-Domain Data Fusion for Cyberattack Detection in Power Systems
IEEE Access, 2021 Modern power systems equipped with advanced communication infrastructure are cyber-physical in nature. The traditional approach of leveraging physical measurements for detecting cyber-induced physical contingencies is insufficient to reflect the accurate
Abhijeet Sahu +6 more
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Robust multi-modal and multi-unit feature level fusion of face and iris biometrics [PDF]
, 2008 Multi-biometrics has recently emerged as a mean of more robust and effcient personal verification and identification. Exploiting information from multiple sources at various levels i.e., feature, score, rank or decision, the false acceptance and ...
Rattani, Ajita, Tistarelli, Massimo
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Status Quo and Prospect of Multi-source Heterogeneous Data Fusion Technology for New Power System
Zhongguo dianli, 2023 In the context of energy transition, the new power system is being built continuously with the goal of being clean and low-carbon, open and interactive. With the fast development of monitoring technology and communication technology, the data sources of ...
Zhen WANG +4 more
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Multi-source data fusion method for structural safety assessment of water diversion structures
Journal of Hydroinformatics, 2021 Building safety assessment based on single sensor data has the problems of low reliability and high uncertainty. Therefore, this paper proposes a novel multi-source sensor data fusion method based on Improved Dempster–Shafer (D-S) evidence theory and ...
Sherong Zhang, Ting Liu, Chao Wang
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Framework of Business Intelligence and Analysis Based on Data Fusion [PDF]
Jisuanji kexue, 2022 The emergence of business intelligence and analytics(BI&A) 3.0 and the broadening application scenarios of information fusion enhance the importance of data fusion in the business intelligence.More and more researches in the fields of economy,finance
LI Ai-hua, XU Wei-jia, SHI Yong
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Multi-source hierarchical conditional random field model for feature fusion of remote sensing images and LiDAR data [PDF]
, 2013 Feature fusion of remote sensing images and LiDAR points cloud data, which have strong complementarity, can effectively play the advantages of multi-class features to provide more reliable information support for the remote sensing applications, such as ...
Heipke, C. +6 more
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Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data [PDF]
, 2014 This paper proposes a method to combine feature fusion and decision fusion together for multi-sensor data classification. First, morphological features which contain elevation and spatial information, are generated on both LiDAR data and the first few ...
Bellens, Rik +4 more
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Information Fusion in a Multi-Source Incomplete Information System Based on Information Entropy
Entropy, 2017 As we move into the information age, the amount of data in various fields has increased dramatically, and data sources have become increasingly widely distributed.
Mengmeng Li, Xiaoyan Zhang
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