TORUS 3 - Toward an Open Resource Using Services
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air pollution modeling
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culturable microorganism levels
dong nai river
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huy anh nguyen
iculate matter concentration
minh ky nguyen
nguyen huy lai
phu loc district
quang hung bui
related environmental factors
van ha pham
viet hung luu
Product details
- ISBN 9781786306012
- Weight: 499g
- Dimensions: 156 x 230mm
- Publication Date: 13 Mar 2020
- Publisher: ISTE Ltd and John Wiley & Sons Inc
- Publication City/Country: GB
- Product Form: Hardback
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This book, presented in three volumes, examines �environmental� disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.
Dominique Lafly is a Professor at the University of Toulouse, France. As a geographer, he is interested in the landscape, and the links between societies and their environment. Concerned with the issue of Big Data, he promotes multidisciplinary programs to bring IT closer to environmental applied disciplines.
