Results 281 to 290 of about 26,379,250 (355)
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ACM Computing Surveys, 2009
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the
Jens Bleiholder, Felix Naumann
+4 more sources
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the
Jens Bleiholder, Felix Naumann
+4 more sources
Proceedings of the VLDB Endowment, 2011 The Web contains a significant volume of structured data in various domains, but a lot of data are dirty and erroneous, and they can be propagated through copying. While data integration techniques allow querying structured data on the Web, they take the union of the answers retrieved from different sources and can thus return conflicting information ...
Liu, X. +3 more
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Cross-Scale Mixing Attention for Multisource Remote Sensing Data Fusion and Classification
IEEE Transactions on Geoscience and Remote Sensing, 2023Hyperspectral and multispectral images (HS/MS) fusion and classification as an important branch of data quality improvement and interpretation have attracted increasing attention in recent years.
Yunhao Gao +3 more
semanticscholar +1 more source
AM³Net: Adaptive Mutual-Learning-Based Multimodal Data Fusion Network
IEEE transactions on circuits and systems for video technology (Print), 2022Multimodal data fusion, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, plays an important role in object recognition and classification tasks.
Jinping Wang +4 more
semanticscholar +1 more source
The International Journal of Robotics Research, 1988
This paper treats two parts of the methodology of the fusion of multisensor data: conceptual and applied. In the concep tual part, we treat several basic questions including the fu sionability of various kinds of signals derived from the differ ent sets of raw data associated with separate sensor systems.
John M. Richardson, Kenneth A. Marsh
openaire +1 more source
This paper treats two parts of the methodology of the fusion of multisensor data: conceptual and applied. In the concep tual part, we treat several basic questions including the fu sionability of various kinds of signals derived from the differ ent sets of raw data associated with separate sensor systems.
John M. Richardson, Kenneth A. Marsh
openaire +1 more source
Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems
IEEE Internet of Things Journal, 2021Blockchain technology is rapidly changing the transaction behavior and efficiency of businesses in recent years. Data privacy and system reliability are critical issues that is highly required to be addressed in Blockchain environments.
W. Liang +5 more
semanticscholar +1 more source
IEEE Transactions on Knowledge and Data Engineering, 2015
In a relational database, tuples are called “duplicate” if they describe the same real-world entity. If such duplicate tuples are observed, it is recommended to remove them and to replace them with one tuple that represents the joint information of the duplicate tuples to a maximal extent. This remove-and-replace operation is called a fusion operation.
Antoon Bronselaer +2 more
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In a relational database, tuples are called “duplicate” if they describe the same real-world entity. If such duplicate tuples are observed, it is recommended to remove them and to replace them with one tuple that represents the joint information of the duplicate tuples to a maximal extent. This remove-and-replace operation is called a fusion operation.
Antoon Bronselaer +2 more
openaire +1 more source
IEEE Geoscience and Remote Sensing Magazine, 2022
In the past decades, remote sensing (RS) data fusion has always been an active research community. A large number of algorithms and models have been developed.
Peng Liu, Jun Yu Li, Lizhe Wang, G. He
semanticscholar +1 more source
In the past decades, remote sensing (RS) data fusion has always been an active research community. A large number of algorithms and models have been developed.
Peng Liu, Jun Yu Li, Lizhe Wang, G. He
semanticscholar +1 more source
International Journal of Distributed Systems and Technologies, 2016
Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources.
Meisong Wang +6 more
openaire +3 more sources
Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources.
Meisong Wang +6 more
openaire +3 more sources