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Titlebook: Smart Objects and Technologies for Social Good; 7th EAI Internationa Ivan Miguel Pires,Susanna Spinsante,Petre Lameski Conference proceedin

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书目名称Smart Objects and Technologies for Social Good
副标题7th EAI Internationa
编辑Ivan Miguel Pires,Susanna Spinsante,Petre Lameski
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Smart Objects and Technologies for Social Good; 7th EAI Internationa Ivan Miguel Pires,Susanna Spinsante,Petre Lameski Conference proceedin
描述This book constitutes the refereed post-conference proceedings of the 7th EAI International Conference on Smart Objects and Technologies for social Good, GOODTECHS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually.. The 24 full papers presented were selected from 53 submissions and issue design, implementation, deployment, operation, and evaluation of smart objects and technologies for social good. Social goods are products and services provided through private enterprises, government, or non-profit institutions and are related to healthcare, safety, sports, environment, democracy, computer science, and human rights. The papers are arranged in tracks on machine learning; IoT; social considerations of technology; technology and ageing; healthcare.
出版日期Conference proceedings 2021
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer science; c
版次1
doihttps://doi.org/10.1007/978-3-030-91421-9
isbn_softcover978-3-030-91420-2
isbn_ebook978-3-030-91421-9Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
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Comparative Analysis of Process Mining Algorithms in Python desirable, as the data can provide historical information or trends that may help to improve organizations performance in the future. Process mining allows the extraction of knowledge from data generated and stored in the information systems..This work aims to contribute to the aforementioned knowl
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COVID-19 Next Day Trend Forecastincluding influenza and Severe Acute Respiratory Syndrome SARS-CoV-2, best known as COVID-19. Predicting the number of cases will contribute to plan human and non-human resources in hospital facilities, including beds, ventilators, and support policy decisions on sanitary population warnings, and he
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Towards a Monitoring Framework for Users of Retirement Houses with Mobile Sensingis causes that, in certain circumstances, the staff of these residences can not properly take care of all the users due to several situations. For that reason, the usage of solutions based on Information and Communications Technologies (ICT) to support such staff has arisen over the last years. In t
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