| Description |
1 online resource (xxiv, 299 pages) : illustrations |
| Series |
Advances in sustainability science and technology |
|
Advances in sustainability science and technology.
|
| Contents |
Part I. Environment : a fact-based study using tree census and air pollution data. Inching towards sustainable smart cities : literature review and data preparation -- Exploring air pollution and green cover dataset : a quantitative approach -- Application of statistical analysis in uncovering the spatio-temporal relationships between the environmental datasets -- Part II. Resilient agriculture : a war against hunger. Farmer Call Centre literature review and data preparation -- Analysis and visualization of Farmer Call Center data -- An approach for exploring new frontiers for optimizing query volume for Farmer Call Centre : KCC query pattern -- Part III. Demand and supply study of healthcare human resource and infrastructure : through the lens of COVID 19. Sustainable healthcare in COVID-19 pandemic : literature survey and data lifting -- COVID-19 and Indian healthcare system : a race against time -- Estimating cases for COVID-19 in India -- Multifacet impact of pandemic on society |
| Summary |
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 todays 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 the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in todays world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed February 4, 2021) |
| In |
Springer Nature eBook |
| Subject |
Sustainable development -- Data processing
|
|
Predictive analytics.
|
|
Glocalization.
|
|
Big data.
|
|
Artificial intelligence.
|
|
artificial intelligence.
|
|
sustainable development.
|
|
Big data
|
|
Glocalization
|
|
Predictive analytics
|
| Form |
Electronic book
|
| Author |
Ghosh, Santanu, author
|
|
Saha, Monodeep, author
|
| ISBN |
9813343125 |
|
9789813343122 |
|
