Results 1 to 10 of about 15,768,589 (336)
Semiconductor–metal composites are widely used in aerospace and automotive manufacturing, weapon production, and electronic packaging because of their high hardness and strength as well as low coefficient of thermal expansion.
Yue Gao +9 more
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The silicon carbide (SiC) that can achieve better electron concentration and motion control is more suitable for the production of high temperature, high frequency, radiation resistance, and high-power electronic devices.
Xiaotian Guo +3 more
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Seven Primary Data Types in Citizen Science Determine Data Quality Requirements and Methods
Data quality (DQ) is a major concern in citizen science (CS) programs and is often raised as an issue among critics of the CS approach. We examined CS programs and reviewed the kinds of data they produce to inform CS communities of strategies of DQ ...
Robert D. Stevenson +3 more
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A Survey of Data Partitioning and Sampling Methods to Support Big Data Analysis
Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental strategies to speed up the computation of big data and
Mohammad Sultan Mahmud +4 more
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What Contributes to a Crowdfunding Campaign’s Success? Evidence and Analyses from GoFundMe Data
Researchers have attempted to measure the success of crowdfunding campaigns using a variety of determinants, such as the descriptions of the crowdfunding campaigns, the amount of funding goals, and crowdfunding project characteristics.
Xupin Zhang, Hanjia Lyu, Jiebo Luo
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Digital Objects – FAIR Digital Objects: Which Services Are Required?
Some of the early Research Data Alliance working groups reused the notion of digital objects as digital entities described by metadata and referenced by a persistent identifier. In recent times the FAIR principles became a prominent role as framework for
Ulrich Schwardmann
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hinze, R., Jeuring, J.T., Löh, A.
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Heterogeneous Network-Based Chronic Disease Progression Mining
Healthcare insurance fraud has caused billions of dollars in losses in public healthcare funds around the world. In particular, healthcare insurance fraud in chronic diseases is especially rampant. Understanding disease progression can help investigators
Chenfei Sun +4 more
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In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In order to discover this we might need to observe a number of different variables, which could include, age, sex, number of teeth, cavities, fillings ...
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Efficient Preference Clustering via Random Fourier Features
Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks.
Jingshu Liu, Li Wang, Jinglei Liu
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