Results 1 to 10 of about 1,962,283 (336)
From data fusion to knowledge fusion [PDF]
Proceedings of the VLDB Endowment, 2014 The task of data fusion is to identify the true values of data items ( e.g. , the true date of birth for Tom Cruise ) among multiple observed values drawn from different sources ( e.g. , Web sites) of varying (and unknown) reliability.
Dong, Xin Luna +6 more
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A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset
Sensors, 2023 Batch process monitoring datasets usually contain missing data, which decreases the performance of data-driven modeling for fault identification and optimal control. Many methods have been proposed to impute missing data; however, they do not fulfill the
Qihong Gan +4 more
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Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data
Sensors, 2021 High-resolution automotive radar sensors play an increasing role in detection, classification and tracking of moving objects in traffic scenes. Clustering is frequently used to group detection points in this context.
Claudia Malzer, Marcus Baum
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Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks
International Journal of Antennas and Propagation, 2022 Under the influence of urban building roads, especially interference from multipath effects, global navigation satellite system (GNSS) receiver-related output signal distortion can affect the robustness of the positioning system and the final positioning
Dengao Li +3 more
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Atmosphere, 2023 In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu +6 more
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A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Here, we demonstrate how deep neural network (DNN) detections of multiple constitutive or component objects that are part of a larger, more complex, and encompassing feature can be spatially fused to improve the search, detection, and retrieval (ranking)
Alan B. Cannaday II +4 more
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IEEE Journal of Selected Topics in Signal Processing, 2015 We present structured data fusion (SDF) as a framework for the rapid prototyping of knowledge discovery in one or more possibly incomplete data sets. In SDF, each data set—stored as a dense, sparse, or incomplete tensor—is factorized with a matrix or tensor decomposition.
Sorber, Laurent +2 more
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The Spatiotemporal Data Fusion (STDF) Approach: IoT-Based Data Fusion Using Big Data Analytics
Sensors, 2021 Enormous heterogeneous sensory data are generated in the Internet of Things (IoT) for various applications. These big data are characterized by additional features related to IoT, including trustworthiness, timing and spatial features.
Dina Fawzy, Sherin Moussa, Nagwa Badr
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Data fusion and data grafting [PDF]
Computational Statistics & Data Analysis, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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