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

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


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 insects 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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