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Titlebook: Open Data for Sustainable Community; Glocalized Sustainab Neha Sharma,Santanu Ghosh,Monodeep Saha Book 2021 The Editor(s) (if applicable) a

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书目名称Open Data for Sustainable Community
副标题Glocalized Sustainab
编辑Neha Sharma,Santanu Ghosh,Monodeep Saha
视频video
概述Explores open data sets from government institutions to achieve the sustainable goals at local level.Discusses issues in the areas of environment, agriculture, and health care through the lens of data
丛书名称Advances in Sustainability Science and Technology
图书封面Titlebook: Open Data for Sustainable Community; Glocalized Sustainab Neha Sharma,Santanu Ghosh,Monodeep Saha Book 2021 The Editor(s) (if applicable) a
描述This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In today’s business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in th
出版日期Book 2021
关键词Sustainable Development Goals; Prediction Models; Agricultural Data; Healthcare Informatics; Carbon Foot
版次1
doihttps://doi.org/10.1007/978-981-33-4312-2
isbn_softcover978-981-33-4314-6
isbn_ebook978-981-33-4312-2Series ISSN 2662-6829 Series E-ISSN 2662-6837
issn_series 2662-6829
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Estimating Cases for COVID-19 in Indiaand human resources. The total susceptible cases that would be requiring ICU beds along with ventilators are estimated to be 322 million. As per the survey, the best-case scenario would have around 40,000 cases, most-likely scenario might have around 75,000 cases and a worst-case scenario projects 2
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2662-6829 ets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in th978-981-33-4314-6978-981-33-4312-2Series ISSN 2662-6829 Series E-ISSN 2662-6837
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Neha Sharma,Santanu Ghosh,Monodeep Sahabipartite graphs with pair-wise independence on the edges, we show that the expected size of the maximum matching is large but considerably smaller than in Erdős-Renyi random graph models where edges are selected independently. Our techniques include a technical lemma that might find applications in
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Neha Sharma,Santanu Ghosh,Monodeep Sahae drawn i.i.d. from a common prior. The principal aims to choose the better of the two products, but the quality of a product can only be estimated via a coarse-grained .: given a threshold ., the principal learns whether a product’s quality exceeds . or fails to do so..We study this selection probl
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Exploring Air Pollution and Green Cover Dataset—A Quantitative Approachven individual trees can provide measurable economic, environmental, social and health benefits for urban populations. According to the India State of Forest Report 2019, released by the Union ministry of environment and forests, the forest cover in Pune District of Maharashtra State in India was 17
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