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Titlebook: Human Interaction, Emerging Technologies and Future Applications II; Proceedings of the 2 Tareq Ahram,Redha Taiar,Kamiar Aminian Conference

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Solving the Revolving Door Problem: Machine Learning for Readmission Risk Assessmentthat hospitals cannot predict when each patient is appropriate to discharge. Through researching readmissions across the Thomas Jefferson University Hospital enterprise, we found that staff must make judgement calls based on their own clinical perspectives. Rather than expecting doctors to somehow i
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Simplified Indoor Localization Data Acquisition by Use of Recurrent LSTM Networks on Sequential Geomance are preferable. This is where our contribution kicks in: We present a method to detect individual positions within buildings by the use of locally induced distortions of the earth’s magnetic field with a smartphone alone, without any additional technology to locate the 2D position. To compensat
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Tareq Ahram,Redha Taiar,Kamiar AminianReports on timely studies concerning human-technology interaction.Covers AI applications in industry, economy, government, education and health.Describes emerging wearable, smart, and autonomous techn
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/h/image/429236.jpg
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https://doi.org/10.1007/978-3-030-44267-5Smart buildings; Facilitators of physical activity; Improving urban environment; IHIET-AI 2020 proceedi
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Designing PresenceExperience design and engagement is evolving to become the design of presence with the supporting practices and tools of SenseMapping, CC-Align, Experience Vision and Scenario-Based Design Methods.
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An AcciMap of the Edinburgh Tram Network Project Delivery FailureThis paper presents an AcciMap of the Edinburgh Tram Network (ETN) project delivery failure in Edinburgh, Scotland. The AcciMap is used to show how various factors contributed to the ETN delivery failure. The paper starts with the historic background of the ETN project, followed by the AcciMap output of the ETN project failure.
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