Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
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Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture. [PDF]
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An Attempt to Establish the Consensus Regarding the Diagnosis, Classification, and Treatment of Rosacea in Japan Using a Modified Delphi Method: The Japan Rosacea Consensus. [PDF]
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Addressing equity and validity in faculty career advancement. [PDF]
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Protocol for the development of the Asian consensus recommendations on the standardised diagnosis and imaging of intracranial atherosclerotic stenosis applying a modified Delphi approach. [PDF]
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If They Were to Vote, They Would Vote for Us
Psychological Science, 2011In two field studies, we examined whether voters overestimate support for their political party among nonvoters. In Study 1, voters estimated the percentage of votes their party would receive in an upcoming election, and this percentage increased when voters estimated the percentage of votes their party would receive if nonvoters also were to vote.
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We present a new, more comprehensive probabilistic model for the voting problem. This model incorporates four distinct probability distributions which can represent the behavior of faulty and nonfaulty modules as well as any underlying probability distribution on the space of answers.
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Will you vote in the next election? If you do, will you vote for a particular party because your parents do, or your partner does, or because you happen to like the look of one of the candidates? Or do you support specific policies? What do you know about the different parties' policies on, for example, the provision of care for older people, nursing ...
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Measuring voting power in games with correlated votes using Bahadur’s parametrisation
Social Choice and Welfare, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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