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Titlebook: Hybrid Artificial Intelligence Systems; 9th International Co Marios Polycarpou,André C. P. L. F. Carvalho,Emili Conference proceedings 2014

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發(fā)表于 2025-4-1 02:32:06 | 只看該作者
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Jan Caha,Veronika Nevtípilová,Ji?í Dvorskyt policy makers face when using big data.Uses numerous case This book provides a comprehensive overview of how the course, content and outcome of policy making is affected by big data. It scrutinises the notion that big and open data makes policymaking a more rational process, in which policy makers
63#
發(fā)表于 2025-4-1 12:57:43 | 只看該作者
Patrick G. Clark,Jerzy W. Grzymala-Busse the background of big data. But there is a step before this as well. Before we can even look at big data and the way data is processed, stored and used, we need to look at the conceptualization of the technology we use to gather, process, store and use big data. First, we will look at the epistemol
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發(fā)表于 2025-4-1 17:35:32 | 只看該作者
Lukasz Augustyniak,Tomasz Kajdanowicz,Przemyslaw Kazienko,Marcin Kulisiewicz,Wlodzimierz Tuliglowiczbuse of facial images become more serious. The existing simple face de-identification methods like occlusion or blurring seriously damage the useful information and structure of image, which leads to a poor visual effect and is of little significant in practical application. In this work, we propose
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發(fā)表于 2025-4-1 19:07:00 | 只看該作者
Alfredo Cuzzocrea,Hendrik Decker,Francesc D. Mu?oz-Escoífields. Most of the current lightweight technologies only focus on a few steps of the model implementation and lack a global perspective. Therefore, this paper proposes a general lightweight model implementation framework, including network construction indicators, lightweight backbone network desig
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發(fā)表于 2025-4-2 02:20:29 | 只看該作者
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