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Advances in Computational and Bio-Engineering: Learning and Analytics in Intelligent Systems, cartea 16

Editat de S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya
en Limba Engleză Paperback – 7 iul 2021
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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Specificații

ISBN-13: 9783030469450
ISBN-10: 303046945X
Pagini: 516
Ilustrații: IX, 506 p. 224 illus., 162 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Learning and Analytics in Intelligent Systems
Seria Learning and Analytics in Intelligent Systems

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.


Caracteristici

Focuses on intelligent computational applications, bioengineering and various smart-design issues and innovations Presents the proceedings of the International Conference on Computational and Bio Engineering (CBE 2019), held on 27–28 December 2019 in Tirupati, India Written by experts in the field