Results 1 to 10 of about 15,947,209 (329)
Backscatter technologies and the future of Internet of Things: Challenges and opportunities
Intelligent and Converged Networks, 2020 Energy source and circuit cost are two critical challenges for the future development of the Internet of Things (IoT). Backscatter communications offer a potential solution to conveniently obtain power and reduce cost for sensors in IoT, and researchers ...
Chaochao Yao +4 more
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Model Error Correction in Data Assimilation by Integrating Neural Networks
Big Data Mining and Analytics, 2019 In this paper, we suggest a new methodology which combines Neural Networks (NN) into Data Assimilation (DA). Focusing on the structural model uncertainty, we propose a framework for integration NN with the physical models by DA algorithms, to improve ...
Jiangcheng Zhu +5 more
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Local Type Checking for Linked Data Consumers [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 The Web of Linked Data is the cumulation of over a decade of work by the Web standards community in their effort to make data more Web-like. We provide an introduction to the Web of Linked Data from the perspective of a Web developer that would like to ...
Gabriel Ciobanu +2 more
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Influence of data amount, data type and implementation packages in GPU coding
Array, 2022 Graphic Processing Units (GPUs) are becoming popular in computational physics. Seeing the increasing trend of using GPUs in the physics community, we provide a comparison of the two major packages Numba and CuPy for GPU coding in Python language. We have
Peng Xu +5 more
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Recognizing the Data Type of Firmware Data Segments With Deep Learning
IEEE Access, 2020 Data segment analysis is of great value for firmware analysis. The data segment contains abundant information such as pointers and strings which is helpful for accelerating the process of code segment analysis.
Ruiqing Xiao +4 more
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MCF Tree-Based Clustering Method for Very Large Mixed-Type Data Set
IEEE Access, 2021 Several clustering methods have been proposed for analyzing numerous mixed-type data sets composed of numeric and categorical attributes. However, existing clustering methods are not suitable for clustering very large mixed-type data sets because they ...
Hyeong-Cheol Ryu, Sungwon Jung
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Assessing the landscape for discovery and access to historical Canadian census data
IASSIST QuarterlyThe Canadian census is a primary source of information about Canada and the people who live there, and that information is used by researchers, the private sector, public servants and residents.
Graeme Campbell +2 more
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Geomatics, Natural Hazards & RiskUsing slope units (SUs) as analysis units can significantly enhance the readability and interpretability of landslide susceptibility maps. To bridge the scale gap between polygon-format SU data and raster-format landslide conditioning factor data ...
Hongjuan Yang +6 more
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Medical Statistics Series: Type of Data, Presentation of Data & Summarization of Data
National Journal of Community Medicine, 2021 Bio Statistics can define as the application of mathematical tools used in statistics to field of biological science and medicine statistics. Collection, organization, analysis ,interpretation and presentation of data very important part of bio medical ...
Swati Patel
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Research on data pricing model based on data market type
大数据, 2023 The market is the process of establishing product prices, and the methods of establishing prices in different markets are different.The pricing model of product is an abstraction of the process of establishing product prices in the market.At present, the
Hongrun REN, Yangyong ZHU
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