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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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Design and performance test of USV information management system based on time-series database
[Objectives] In recent years,unmanned surface vehicles(USVs) have developed rapidly and will have wide application prospect. Hence it becomes quite urgent to deal with the massive information management problem on long-endurance USVs.[Methods] According ...
Huang Yi+4 more
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Database systems store data (big data) for various areas dealing with finance (banking, insurance) and are also an essential part of corporate firms.
V. Langraf+4 more
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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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Spectral Clustering of Mixed-Type Data
Cluster analysis seeks to assign objects with similar characteristics into groups called clusters so that objects within a group are similar to each other and dissimilar to objects in other groups.
Felix Mbuga, Cristina Tortora
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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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Design of data collection device of mine-used explosion-proof trackless rubber-tyred locomotive
In view of problems of limited data collection and centralized collection mode of traditional explosion-proof trackless rubber-tyred locomotive, a data collection device of mine-used explosion-proof trackless rubber-tyred locomotive was designed ...
YANG Xiaofeng
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Gradient Amplification: An Efficient Way to Train Deep Neural Networks
Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural ...
Sunitha Basodi+3 more
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Survey on Data Analysis in Social Media: A Practical Application Aspect
Social media has more than three billion users sharing events, comments, and feelings throughout the world. It serves as a critical information source with large volumes, high velocity, and a wide variety of data.
Qixuan Hou, Meng Han, Zhipeng Cai
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A Software Development Model for the Automatic Generation of Classes
In this paper it is presented a software development model based on transformations that allows to derive, in an automatic way, classes in object-oriented programming languages (Ada 95, C++, Eiffel and Java) starting from formal specifications.
Eugenio Scalise, Nancy Zambrano
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