Titlebook: Origin of Turbulence; Energy Gradient Theo Hua-Shu Dou Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license t

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Hua-Shu Doutput and power law. The obtained R. = 0.504 was higher than the R. = 0.432 baseline for the popular time-on-task parameter. Moreover, the distribution of UI elements’ frequencies is much less prone to manipulation by malicious crowdworkers, which is advantageous as a crowdsourced data quality contro

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Hua-Shu Douress this challenge, we define a set of mappings between evolved service APIs based on which the stability changes can be determined. We further specify a generic algorithm that recognises the evolution changes required on the programming clients of the evolved APIs. We finally define an initial ver

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Hua-Shu Douress this challenge, we define a set of mappings between evolved service APIs based on which the stability changes can be determined. We further specify a generic algorithm that recognises the evolution changes required on the programming clients of the evolved APIs. We finally define an initial ver

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ting from the hierarchical structure of posts and comments, using a directed multigraph network. The experiments categorize 90% comments with 98% accuracy on a real social media dataset. The model then identifies relevant patterns in terms of shape and content; and finally determines the relevance a

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