Excel Spreadsheets
This dataset includes the types of enteprise alliances, patent related to digitalization, market capitalization, research expense, profit margin, digitalization keywords searching index, shared platform, shared resources, governing mechanism, alliance stability, rewarding mechanism in ten industries
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Decision variables of the best run for each algorithm
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Clamp-on ultrasonic transit time difference is used extensively to calculate the volumetric flow rate of a fluid through a pipe. The operating principle is that waves travelling along a path that is generally against the flow direction take longer to travel the same path than waves travelling along the same path in the opposite direction. The transit time difference between the waves travelling in opposite directions can be used to calculate the flow rate through the pipe, by applying suitable mathematical correction factors.
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<p><span class="fontstyle0">Software architecture is the most important determinant<br />to systematically achieve quality attributes in a software<br />system, including software performance. However there is no<br />comprehensive understanding of why and how to integrate<br />software architecture and performance analysis to guide research.<br />To fill this gap, this paper presents a systematic review of 83<br />studies.
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This dataset provides the data collected in the scope of a Systematic Literature Review (SLR) study that focuses on identifying and classifying the recent research practices pertaining to CPS development through MDE approaches. The dataset includes 140 research papers published during 2010-2018. Accordingly, a comprehensive analysis of various MDE approaches used in the development life-cycle of CPS is analyzed. The dataset can be useful for the researchers and practitioners.
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Figure Data Backup for paper, "Co-Evolution of Malware Threats in the U.S. Commercial Sector and Defense Industrial Base"
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This dataset describes a collection of 700 different leaders throughout European history across 22 different states. Each leader is described by eight different categories of information: first name, last name/title, the century they ruled, the state in which they ruled, their formal position, their dynasty/family/political party, cause of death, and years of reign. This information can be used for training neural networks targeted at high level associative learning.
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This dataset is the recorded data for a Dissipative Particle Dynamics simulator which is designed to run on an event-driven high performance computing platform, POETS (poets-project.org).
This is in support of an article submitted to IEEE Transactions on Parallel and Distributed Systems, entitled "An event-driven approach to Dissipative Particle Dynamics".
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