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A Review of Data Fusion Techniques
Published 2013-01-01“…The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. …”
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An effective selection of retrieval schemes for data fusion
Published 2017-05-01Subjects: “…Data fusion…”
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Traffic Prediction with Data Fusion and Machine Learning
Published 2025-04-01Subjects: Get full text
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Arrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms
Published 2024-12-01Get full text
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Data fusion for cooperative detection in cognitive radio system
Published 2009-01-01Subjects: Get full text
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New data fusion model of intrusion detection——IDSFP
Published 2006-01-01Subjects: Get full text
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Analysis of Bridge Health Detection Based on Data Fusion
Published 2022-01-01“…Drawing on the existing theoretical results for bridge influencing factors, a method for numerical simulation and data fusion was used in the application of multifactor data fusion for cable-stayed bridge safety evaluation. …”
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Multiagent-Based Data Fusion in Environmental Monitoring Networks
Published 2012-06-01“…In order to ensure the scalability of the distributed data fusion, we propose a three-step procedure to balance the workload among machines using mobile agent technology.…”
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Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus
Published 2025-02-01Subjects: Get full text
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Integrated Fusion Network for Hyperspectral, Multispectral and Panchromatic Data Fusion
Published 2025-02-01Get full text
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Research on Yield Prediction Model Driven by Mechanism and Data Fusion
Published 2025-03-01“…To address these challenges, this study proposes a mechanism–data fusion production forecasting model that integrates mechanistic model outputs with data-driven learning techniques. …”
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Safety Monitoring of Expressway Construction Based on Multisource Data Fusion
Published 2020-01-01“…For successful projects, safety monitoring is particularly important. Multisource data fusion is one of the computer application technologies. …”
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Deep learning for multi-modal data fusion in IoT applications
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Patient-specific data fusion defines prognostic cancer subtypes.
Published 2011-10-01“…Our model is constructed from a hierarchy of Dirichlet Processes and addresses three key challenges in data fusion: (i) To separate concordant from discordant signals, (ii) to select informative features, (iii) to estimate the number of disease subtypes. …”
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Data Fusion and Dimensionality Reduction for Pest Management in Pitahaya Cultivation
Published 2025-06-01Subjects: “…data fusion…”
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Advances and Emerging Trends in UAV Sensor Data Fusion Technology
Published 2025-01-01“…This paper systematically reviews the breakthrough progress of multi-source data fusion technology: the space-time fusion architecture based on the Kalman filter (UKF) reduces the dynamic attitude estimation error by 18%, and the GPU accelerated particle filtering scheme realizes 20 Hz real-time processing in real-time. …”
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Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection
Published 2024-12-01Subjects: “…data fusion…”
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Combination of Feature Selection and Learning Methods for IoT Data Fusion
Published 2017-12-01Subjects: Get full text
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Improved Ellipsoidal Intersection Method for 2D Data Fusion
Published 2025-01-01Subjects: Get full text
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