Results 281 to 290 of about 1,962,283 (336)
Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition. [PDF]
Sensors (Basel)Liu W, Wu G, Wang H, Ren F.
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OMetaNet: an efficient hybrid deep learning model based on multimodal data fusion and contrastive learning for predicting 2'-O-methylation sites in human RNA. [PDF]
BMC BioinformaticsShen P, Lin Y, Yang S, Zhang Z.
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Class-Imbalanced Machinery Fault Diagnosis Using Heterogeneous Data Fusion Support Tensor Machine
Zhishan Min +3 more
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A multi-data fusion deep learning model for prognostic prediction in upper tract urothelial carcinoma. [PDF]
Front OncolSun H +10 more
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Research on Yield Prediction Model Driven by Mechanism and Data Fusion. [PDF]
Sensors (Basel)Meng X, Liu X, Duan H, Hu Z, Wang M.
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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.
Wang, Meisong +6 more
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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
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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
Electronics & Communication Engineering Journal, 1997
Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
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Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
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Proceedings of the Third International Conference on Information Fusion, 2000
Compares different fusion processes in terms of error probability and robustness. To begin with, simple fusion operators are studied within the general framework of two binary sensors (maximum likelihood, and logical fusion functions like 'OR' and 'AND').
J.-F. Grandin, M. Marques
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Compares different fusion processes in terms of error probability and robustness. To begin with, simple fusion operators are studied within the general framework of two binary sensors (maximum likelihood, and logical fusion functions like 'OR' and 'AND').
J.-F. Grandin, M. Marques
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Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics, 2002
An adaptive algorithm for multi-sensor/data fusion is developed. The algorithm can be employed in an uncertain sensed environment using imperfect sensors. Assuming little prior information about the sensed environment and the sensors, the algorithm adaptively adjusts the weights for the best fusion of inaccurate information provided by the multiple ...
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An adaptive algorithm for multi-sensor/data fusion is developed. The algorithm can be employed in an uncertain sensed environment using imperfect sensors. Assuming little prior information about the sensed environment and the sensors, the algorithm adaptively adjusts the weights for the best fusion of inaccurate information provided by the multiple ...
openaire +1 more source