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Dynamic Data-Driven Environmental Systems Science : First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers / edited by Sai Ravela, Adrian Sandu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 8964
- Information Systems and Applications, incl. Internet/Web, and HCI ; 8964
- Language:
- English
- Subjects (All):
- Application software.
- Algorithms.
- Computer networks.
- Artificial intelligence.
- Software engineering.
- User interfaces (Computer systems).
- Human-computer interaction.
- Computer and Information Systems Applications.
- Computer Communication Networks.
- Artificial Intelligence.
- Software Engineering.
- User Interfaces and Human Computer Interaction.
- Local Subjects:
- Computer and Information Systems Applications.
- Algorithms.
- Computer Communication Networks.
- Artificial Intelligence.
- Software Engineering.
- User Interfaces and Human Computer Interaction.
- Physical Description:
- 1 online resource (XI, 360 pages) : 145 illustrations in color.
- Edition:
- 1st ed. 2015.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014, held in Cambridge, MA, USA, in November 2014. The 24 revised full papers and 7 short papers were carefully reviewed and selected from 62 submissions and cover topics on sensing, imaging and retrieval for the oceans, atmosphere, space, land, earth and planets that is informed by the environmental context; algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these algorithms into information-gathering and observing system designs; and applications of methodology to environmental estimation, analysis and prediction including climate, natural hazards, oceans, cryosphere, atmosphere, land, space, earth and planets.
- Contents:
- Sensing
- Environmental applications
- Reduced representations and features
- data assimilation and uncertainty quantification
- Planning and adaptive observation.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-25138-7
- 9783319251387
- Access Restriction:
- Restricted for use by site license.
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