東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in computational and bio-en...

International Conference on Computational and Bio Engineering (2019))

FindBook

Google Book

Amazon

博客來

Advances in computational and bio-engineering = proceeding of the International Conference on Computational and Bio Engineering, 2019.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in computational and bio-engineering/ edited by S. Jyothi ... [et al.].
其他題名:	proceeding of the International Conference on Computational and Bio Engineering, 2019.
其他作者:	Jyothi, S.
團體作者:	International Conference on Computational and Bio Engineering
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	x, 667 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Biomedical Engineering and Bioengineering. -
電子資源:	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 ... [et al.]. - Cham :Springer International Publishing :2020. - x, 667 p. :ill., digital ;24 cm. - Learning and analytics in intelligent systems,v.152662-3447 ;. - Learning and analytics in intelligent systems ;v.15..

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:

3381533
Biomedical Engineering and Bioengineering.

LC Class. No.: QA75.5

Dewey Class. No.: 004

Advances in computational and bio-engineering = proceeding of the International Conference on Computational and Bio Engineering, 2019.. Volume 1 /
LDR:03126nmm a2200337 a 4500 001 2222668
003 DE-He213
005 20201123152351.0
006 m d
007 cr nn 008maaau
008 210108s2020 sz s 0 eng d
020 $a 9783030469399 $q (electronic bk.)
020 $a 9783030469382 $q (paper)
024 7 $a 10.1007/978-3-030-46939-9 $2 doi
035 $a 978-3-030-46939-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA75.5
072 7 $a PDE $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PDE $2 thema
082 0 4 $a 004 $2 23
090 $a QA75.5 $b .I61 2019
111 2 $a International Conference on Computational and Bio Engineering $n (2nd : $d 2019) $3 3461626
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. $n Volume 1 / $c edited by S. Jyothi ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 667 p. : $b ill., digital ; $c 24 cm.
490 1 $a Learning and analytics in intelligent systems, $x 2662-3447 ; $v 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 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 0 $a Computer science $v Congresses. $3 606819
650 0 $a Biomedical engineering $x Congresses. $3 700709
650 1 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Engineering Mathematics. $3 3301900
700 1 $a Jyothi, S. $3 3461598
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Learning and analytics in intelligent systems ; $v v.15. $3 3461627
856 4 0 $u https://doi.org/10.1007/978-3-030-46939-9
950 $a Mathematics and Statistics (SpringerNature-11649)