國立虎尾科技大學 |

Advances in Computational and Bio-Engineering = Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in Computational and Bio-Engineering/ edited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya.
Reminder of title:	Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 /
other author:	Jyothi, S.
Description:	X, 667 p. 273 illus., 194 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-46939-9
ISBN:	9783030469399

Advances in Computational and Bio-Engineering = Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 /
Advances in Computational and Bio-EngineeringProceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 /[electronic resource] :edited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya. - 1st ed. 2020. - X, 667 p. 273 illus., 194 illus. in color.online resource. - Learning and Analytics in Intelligent Systems,152662-3447 ;. - Learning and Analytics in Intelligent Systems,1.

Chapter 1: Sequential Pattern Mining for U.S. presidential elections using Google Cloud Platform (GCP) -- Chapter 2: An evolutionary optimization methodology for analysing breast canr gene sequens using MSAPSO and MSADE -- Chapter 3: Performing Image Compression and Decompression Using Matrix Substitution Technique -- Chapter 4: Classification of Cotton Crop Pests using Big Data Analytics -- Chapter 5: Effect Of Formulation Variables on Optimization of Gastroretentive in Situ Rafts of Bosentan Monohydrate HCL by 32 Factorial Design -- Chapter 6: Performan Analysis of Apache Spark ML lib Clustering on Batch Data Stored in Cassandra -- Chapter 7: A study on Opinion of B.Sc Nursing studentson Health Informatics and EMR to included in Nursing Education -- Chapter 8: A Comprehensive Hybrid Ensemble Method with Feature Selection Techniques -- Chapter 9: DNA based Quick Response (QR) code for Screening of Potential Parents for Evolving new Silkworm Ras of high Productivity -- Chapter 10: Big Data Analysis for Land Use Classification Using Machine Learning Algorithms.

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.

ISBN: 9783030469399

Standard No.: 10.1007/978-3-030-46939-9doiSubjects--Topical Terms:

527725
Biomathematics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.285

Advances in Computational and Bio-Engineering = Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 /
LDR:03621nam a22004215i 4500 001 1025811
003 DE-He213
005 20200719185423.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030469399 $9 978-3-030-46939-9
024 7 $a 10.1007/978-3-030-46939-9 $2 doi
035 $a 978-3-030-46939-9
050 4 $a QH323.5
050 4 $a QH324.2-324.25
072 7 $a PDE $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PDE $2 thema
082 0 4 $a 570.285 $2 23
245 1 0 $a Advances in Computational and Bio-Engineering $h [electronic resource] : $b Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 / $c edited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a X, 667 p. 273 illus., 194 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Learning and Analytics in Intelligent Systems, $x 2662-3447 ; $v 15
505 0 $a Chapter 1: Sequential Pattern Mining for U.S. presidential elections using Google Cloud Platform (GCP) -- Chapter 2: An evolutionary optimization methodology for analysing breast canr gene sequens using MSAPSO and MSADE -- Chapter 3: Performing Image Compression and Decompression Using Matrix Substitution Technique -- Chapter 4: Classification of Cotton Crop Pests using Big Data Analytics -- Chapter 5: Effect Of Formulation Variables on Optimization of Gastroretentive in Situ Rafts of Bosentan Monohydrate HCL by 32 Factorial Design -- Chapter 6: Performan Analysis of Apache Spark ML lib Clustering on Batch Data Stored in Cassandra -- Chapter 7: A study on Opinion of B.Sc Nursing studentson Health Informatics and EMR to included in Nursing Education -- Chapter 8: A Comprehensive Hybrid Ensemble Method with Feature Selection Techniques -- Chapter 9: DNA based Quick Response (QR) code for Screening of Potential Parents for Evolving new Silkworm Ras of high Productivity -- Chapter 10: Big Data Analysis for Land Use Classification Using Machine Learning Algorithms.
520 $a 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.
650 0 $a Biomathematics. $3 527725
650 0 $a Computational intelligence. $3 568984
650 0 $a Biomedical engineering. $3 588770
650 0 $a Engineering mathematics. $3 562757
650 1 4 $a Mathematical and Computational Biology. $3 786706
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Engineering Mathematics. $3 1203947
700 1 $a Jyothi, S. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1313566
700 1 $a Mamatha, D. M. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1313567
700 1 $a Satapathy, Suresh Chandra. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 889261
700 1 $a Raju, K. Srujan. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1254937
700 1 $a Favorskaya, Margarita N. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1063332
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030469382
776 0 8 $i Printed edition: $z 9783030469405
776 0 8 $i Printed edition: $z 9783030469412
830 0 $a Learning and Analytics in Intelligent Systems, $x 2662-3447 ; $v 1 $3 1297965
856 4 0 $u https://doi.org/10.1007/978-3-030-46939-9
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)