Approaching Semantically-Mediated Acoustic Data Fusion [PDF]
, 2007 Our primary hypothesis is that it should be possible to enrich data fusion by semantic processing, with wide potential application. In order to achieve our aim we need to represent the semantic data and enable reasoning about it in a framework that can ...
Damarla, Raju +17 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
doaj +1 more source
Classification accuracy increase using multisensor data fusion [PDF]
, 2011 The practical use of very high resolution visible and near-infrared (VNIR) data is still growing (IKONOS, Quickbird, GeoEye-1, etc.) but for classification purposes the number of bands is limited in comparison to full spectral imaging. These limitations
Palubinskas, Gintautas +5 more
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Core size effects of laser fusion subcritical research reactor for fusion engineering research [PDF]
, 2021 A multi-purpose high repetition laser facility, the so-called Japan establishment for power-laser community harvest (J-EPoCH) is proposed as a next generation laser facility. J-EPoCH will operate at the maximum rate of 100 Hz.
Kodama, Ryousuke, Iwamoto, Akifumi
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Ontological representation of context knowledge for visual data fusion [PDF]
, 2009 8 pages, 4 figures.-- Contributed to: 12th International Conference on Information Fusion, 2009 (FUSION '09, Seattle, Washington, US, Jul 6-9, 2009).Context knowledge is essential to achieve successful information fusion, especially at high JDL levels ...
Molina, José M. +3 more
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A common data fusion framework for space robotics: architecture and data fusion methods
, 2018 International audienceData fusion algorithms make it possible to combine data from different sensors into symbolic representations such as environment maps, object models, and position estimates.
Dominguez, Raúl +14 more
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Structure-revealing data fusion [PDF]
BMC Bioinformatics, 2014 Analysis of data from multiple sources has the potential to enhance knowledge discovery by capturing underlying structures, which are, otherwise, difficult to extract. Fusing data from multiple sources has already proved useful in many applications in social network analysis, signal processing and bioinformatics.
Evrim Acar +6 more
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Advantages and Challenges of Information Fusion Technique for Big Data Analysis: Proposed Framework
Journal of Biostatistics and Epidemiology, 2021 Introduction: Recently, with the surge in the availability of relevant data in various industries, the use of Information Fusion technique for data analysis is increasing.
Elham Nazari +4 more
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Discrete Graphical Models for Alphabet-Based Multisensory Data Fusion and Classification [PDF]
, 2011 The way of multisensory data integration is a crucial step of any data fusion method. Different physical types of sensors (optic, thermal, acoustic, radar, etc.), different resolution, and different types of GIS digital data (elevation, vector maps, etc.
Palubinskas, Gintautas +5 more
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Multi-sensor data fusion for urban area classification [PDF]
, 2011 Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal,
Palubinskas, Gintautas +5 more
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