Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Synthetic data sets"'
Publikováno v:
IEEE Internet of Things Journal. 9:8425-8437
Recommendations based on prediction of user preferences from partial information are widely used in various applications. However, recommendations using smart devices have some challenges related limited data device resources, data sparsity, and data
Publikováno v:
Metrology
Volume 1
Issue 1
Pages 4-73
Volume 1
Issue 1
Pages 4-73
The validity of calibration and measurement capability (CMC) claims by national metrology institutes is supported by the results of international measurement comparisons. Many methods of comparison analysis are described in the literature and some ha
Publikováno v:
Peer-to-Peer Networking and Applications. 14:1650-1665
Continuous publication of statistics collected from various location-based applications may compromise users’ privacy as the statistics could be procured from users’ private data. Differential Privacy (DP) is a new privacy notion that offers a st
Publikováno v:
Inverse Problems & Imaging. 15:27-40
Pathological examination has been done manually by visual inspection of hematoxylin and eosin (H&E)-stained images. However, this process is labor intensive, prone to large variations, and lacking reproducibility in the diagnosis of a tumor. We aim t
Autor:
Bhabesh Nath, Anindita Borah
Publikováno v:
Complex & Intelligent Systems. 7:589-619
Pattern mining has emerged as a compelling field of data mining over the years. Literature has bestowed ample endeavors in this field of research ranging from frequent pattern mining to rare pattern mining. A precise and impartial analysis of the exi
Autor:
Bryan Palmintier, Tarek Elgindy, Bruce Bugbee, Fernando Postigo, Jean-Sebastien Lacroix, Pablo Duenas, Venkat Krishnan, Tomás Gómez San Román, Carlos Mateo
Publikováno v:
IEEE Transactions on Smart Grid. 11:4477-4489
There is a strong need for synthetic yet realistic distribution system test data sets that are as diverse, large, and complex to solve as real systems. Such data sets can facilitate the development of advanced algorithms and the assessment of emergin
Publikováno v:
IEEE transactions on visualization and computer graphics.
Comparative analysis of scalar fields is an important problem with various applications including feature-directed visualization and feature tracking in time-varying data. Comparing topological structures that are abstract and succinct representation
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Publikováno v:
Jokinen, J, Raty, T & Lintonen, T 2019, ' Clustering structure analysis in time-series data with density-based clusterability measure ', IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 6, 8894746, pp. 1332-1343 . https://doi.org/10.1109/JAS.2019.1911744
Clustering is used to gain an intuition of the structures in the data. Most of the current clustering algorithms produce a clustering structure even on data that do not possess such structure. In these cases, the algorithms force a structure in the d
Publikováno v:
GEOPHYSICS. 84:IM35-IM45
Delineating faults from seismic images is a key step for seismic structural interpretation, reservoir characterization, and well placement. In conventional methods, faults are considered as seismic reflection discontinuities and are detected by calcu