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Titlebook: Society with Future: Smart and Liveable Cities; First EAI Internatio Paulo Pereira,Rita Ribeiro,Paulo Novais Conference proceedings 2020 IC

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發(fā)表于 2025-3-21 17:08:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Society with Future: Smart and Liveable Cities
副標(biāo)題First EAI Internatio
編輯Paulo Pereira,Rita Ribeiro,Paulo Novais
視頻videohttp://file.papertrans.cn/871/870205/870205.mp4
叢書(shū)名稱(chēng)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書(shū)封面Titlebook: Society with Future: Smart and Liveable Cities; First EAI Internatio Paulo Pereira,Rita Ribeiro,Paulo Novais Conference proceedings 2020 IC
描述.This book constitutes the refereed post-conference proceedings of the First International Conference on Society with Future: Smart and Liveable Cities, SC4Life 2019, which took place in Braga, Portugal, in December 2019. The 13 revised full papers were carefully reviewed and selected from 19 submissions. The conference has brought researchers, developers, and practitioners who are leveraging and develoing new knowledge on the topic of smart cities, offering more efficiency to main infrastructures, utilities and services, creating a sustainable urban environment that improves the quality of life for its citizens and enhances economic development..
出版日期Conference proceedings 2020
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-030-45293-3
isbn_softcover978-3-030-45292-6
isbn_ebook978-3-030-45293-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020
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Conference proceedings 2020s, SC4Life 2019, which took place in Braga, Portugal, in December 2019. The 13 revised full papers were carefully reviewed and selected from 19 submissions. The conference has brought researchers, developers, and practitioners who are leveraging and develoing new knowledge on the topic of smart citi
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發(fā)表于 2025-3-22 04:27:54 | 只看該作者
Building Future Societies? A Brief Analysis of Braga’s School Bus Projectator), this paper discusses the difficulties in implementing sustainable mobility initiatives, pointing out anticipatory measures that can be taken in medium-sized cities in order to stop the expansion of children’s transportation by car, and give them back spaces in the cities.
地板
發(fā)表于 2025-3-22 05:29:27 | 只看該作者
Mobility Time Style: For an Integrated View of Time and Mobility in Societies with a Futureeptions and uses of time. It is also evident that time is simultaneously dependent on the way technologies are absorbed into daily life and that time remains a matter of constraint and social opportunity.
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Sustainable Road Infrastructures Using Smart Materials, NDT, and FEM-Based Crack Predictionive Test (NDT)-based monitoring systems, and Finite Element Method (FEM)-based damage prediction models. The pieces of information provided using the above-mentioned approaches play a crucial role in the work of many stakeholders (citizens, users, road agencies, authorities, driverless vehicles, etc
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發(fā)表于 2025-3-22 18:39:03 | 只看該作者
Leak Detection in Water Distribution Networks via Pressure Analysis Using a Machine Learning Ensemblly, pipelines degrade over time, causing leakages and pipe bursts. Damaged pipelines allow water to leak through, incurring significant economic losses. Mitigating these losses are important, especially in areas with water scarcity, to allow consumers to have adequate water supply. Globally, as the
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Solutions for Improving the Energy Efficiency of Buildings Refurbishmente concerns, different strategies and directives have been developed. However, this consumption can be reduced by between 30% and 80% through commercially available technologies..A critical and evolutionary way of thinking about the energy (and other resources) demand, management, and supply is neces
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發(fā)表于 2025-3-23 02:09:02 | 只看該作者
Image Recognition to Improve Positioning in Smart Urban Environments aid visually impaired people for navigation purposes. We used an image recognition algorithm and adjusted the android app algorithm to decrease the initial error average of 85 m (without any correction from GPS obtained signal) to a 5 m error, in the final version of our solution.
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