Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2

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.


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Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2

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.


156.99 In Stock
Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2

Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2

Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2

Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2

eBook1st ed. 2020 (1st ed. 2020)

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Overview

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.



Product Details

ISBN-13: 9783030469436
Publisher: Springer-Verlag New York, LLC
Publication date: 07/06/2020
Series: Learning and Analytics in Intelligent Systems , #16
Sold by: Barnes & Noble
Format: eBook
File size: 94 MB
Note: This product may take a few minutes to download.

Table of Contents

Chapter 1: Cloud Computing: A Study On Type of Data Stored in a Cloud and Its Security Mechanisms.- Chapter 2: Smart bag using electromagnetic zipping.- Chapter 3: Analysis on Various Feature Extraction Methods for Medical Image Classification.- Chapter 4: Prediction of Pest Generations based on Future Climate using Big Data Mining.- Chapter 5: Optimizing TCP Congestion Control Techniques for Wireless Sensor Network Architectures.- Chapter 6: Comparative In-silico studies for theolecular basis of lepidopteran insect pestsBio-control using insect’s own enzymes.- Chapter 7: Collaborative Cloud Computing for Resour Sharing Platform in Multiple Clouds.- Chapter 8: Deep Learning of Paradigms: The Outlook.- Chapter 9: Applications of Network Analysis in Bioinformatics.- Chapter 10: Identification of Clinical Variants Present inSkin Melanoma Using Exome Sequencing Data.
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