Advances in Computational and Bio-Engineering : Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2
Language: English
Published by Springer, 2021
Series: Book 16 of 29 - Learning and Analytics in Intelligent Systems
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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- Title
- Advances in Computational and Bio-Engineering : Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2
- Author
- S. Jyothi
- Publisher
- Springer
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 303046945X
- ISBN 13
- 9783030469450
- Item weight
- 774 grams
- Dimensions
- 235x155x28 mm
- Series
- Book 16 of 29: Learning and Analytics in Intelligent Systems
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
"About the title" may belong to another edition of this title.
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