Results 11 to 20 of about 868,146 (162)
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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Efficient estimation under data fusion
Biometrika, 2023 Summary We aim to make inferences about a smooth, finite-dimensional parameter by fusing together data from multiple sources. Previous works have studied the estimation of a variety of parameters in similar data fusion settings, including estimation of the average treatment effect and average reward under a policy, with the majority of ...
Li, Sijia, Luedtke, Alex
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Frontiers in Ecology and Evolution, 2023 IntroductionOpen-pit coal mining could disrupt the ecosystem and lead to the loss of service values for the ecosystem through direct occupation or indirect impacts on adjacent ecosystems.MethodsIn this research, we combined a new accounting system, gross
Jieqing Shi +6 more
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, 2010 We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are specified using relational algebra and functional dependencies; a novel fuse operation on relational indexes specifies where the underlying physical data structure
Hawkins, Peter +4 more
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Method on Multi-granularity Data Provenance for Data Fusion [PDF]
Jisuanji kexue, 2022 As the amount of data increases,correlates and crosses between data,the value of data needs to be maximized through data fusion.However,due to the complexity of the data fusion process,to clearly explain the data fusion process,it is necessary to ...
YANG Fei-fei, SHEN Si-yu, SHEN De-rong, NIE Tie-zheng, KOU Yue
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Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models
Engineering Proceedings, 2022 The latest satellite infrastructure for data processing, transmission and reception can certainly be improved by upgrading tools used to deal with very large amounts of data from every different sensor incorporated within the space missions.
Ana C. Castillo +5 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 Ataman +6 more
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Data Science Journal, 2018 The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems.
Akiyuki Kawasaki +8 more
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Choosing the Best Sensor Fusion Method: A Machine-Learning Approach
Sensors, 2020 Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
Ramon F. Brena +4 more
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A Comparative Study on Recent Automatic Data Fusion Methods
Computers, 2023 Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of accuracy and stability of the results.
Luis Manuel Pereira +2 more
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