Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Intelligent computing theories and m...
~
Huang, De-Shuang.
Linked to FindBook
Google Book
Amazon
博客來
Intelligent computing theories and methodologies = 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015 : proceedings.. Part II /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intelligent computing theories and methodologies/ edited by De-Shuang Huang, Kang-Hyun Jo, Abir Hussain.
Reminder of title:
11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015 : proceedings.
remainder title:
ICIC 2015
other author:
Huang, De-Shuang.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xxix, 755 p. :ill., digital ;24 cm.
[NT 15003449]:
Genetic algorithms -- Artificial bee colony algorithms -- Swarm intelligence and optimization -- Social computing -- Information security -- Virtual reality and human-computer interaction -- Healthcare informatics theory and methods -- Unsupervised learning -- Collective intelligence -- Intelligent computing in robotics -- Intelligent computing in communication networks -- Intelligent control and automation -- Intelligent data analysis and prediction -- Gene expression array analysis -- Gene regulation modeling and analysis -- Protein-protein interaction prediction -- Biology inspired computing and optimization -- Analysis and visualization of large biological data sets -- Motif detection -- Biomarker discovery -- Modeling, simulation, and optimization of biological systems -- Biomedical data modeling and mining -- Intelligent computing in biomedical signal/image analysis -- Intelligent computing in brain imaging -- Neuroinformatics -- Cheminformatics -- Intelligent computing in computational biology -- Computational genomics -- Biomedial data integration and mining in the era of big data -- Big data analytics -- Artificial intelligence for ambient assisted living -- Swarm intelligence with discrete dynamics.
Contained By:
Springer eBooks
Subject:
Artificial intelligence -
Online resource:
http://dx.doi.org/10.1007/978-3-319-22186-1
ISBN:
9783319221861
Intelligent computing theories and methodologies = 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015 : proceedings.. Part II /
Intelligent computing theories and methodologies
11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015 : proceedings.Part II /[electronic resource] :ICIC 2015edited by De-Shuang Huang, Kang-Hyun Jo, Abir Hussain. - Cham :Springer International Publishing :2015. - xxix, 755 p. :ill., digital ;24 cm. - Lecture notes in computer science,92260302-9743 ;. - Lecture notes in computer science ;5353..
Genetic algorithms -- Artificial bee colony algorithms -- Swarm intelligence and optimization -- Social computing -- Information security -- Virtual reality and human-computer interaction -- Healthcare informatics theory and methods -- Unsupervised learning -- Collective intelligence -- Intelligent computing in robotics -- Intelligent computing in communication networks -- Intelligent control and automation -- Intelligent data analysis and prediction -- Gene expression array analysis -- Gene regulation modeling and analysis -- Protein-protein interaction prediction -- Biology inspired computing and optimization -- Analysis and visualization of large biological data sets -- Motif detection -- Biomarker discovery -- Modeling, simulation, and optimization of biological systems -- Biomedical data modeling and mining -- Intelligent computing in biomedical signal/image analysis -- Intelligent computing in brain imaging -- Neuroinformatics -- Cheminformatics -- Intelligent computing in computational biology -- Computational genomics -- Biomedial data integration and mining in the era of big data -- Big data analytics -- Artificial intelligence for ambient assisted living -- Swarm intelligence with discrete dynamics.
This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The 191 full papers and 42 short papers of this volume were carefully reviewed and selected from 191 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.
ISBN: 9783319221861
Standard No.: 10.1007/978-3-319-22186-1doiSubjects--Topical Terms:
693196
Artificial intelligence
LC Class. No.: Q334
Dewey Class. No.: 006.3
Intelligent computing theories and methodologies = 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015 : proceedings.. Part II /
LDR
:04558nmm a2200349 a 4500
001
2010954
003
DE-He213
005
20160315165033.0
006
m d
007
cr nn 008maaau
008
160417s2015 gw s 0 eng d
020
$a
9783319221861
$q
(electronic bk.)
020
$a
9783319221854
$q
(paper)
024
7
$a
10.1007/978-3-319-22186-1
$2
doi
035
$a
978-3-319-22186-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q334
072
7
$a
UYQ
$2
bicssc
072
7
$a
TJFM1
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.3
$2
23
090
$a
Q334
$b
.I61 2015
245
1 0
$a
Intelligent computing theories and methodologies
$h
[electronic resource] :
$b
11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015 : proceedings.
$n
Part II /
$c
edited by De-Shuang Huang, Kang-Hyun Jo, Abir Hussain.
246
3
$a
ICIC 2015
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xxix, 755 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
9226
505
0
$a
Genetic algorithms -- Artificial bee colony algorithms -- Swarm intelligence and optimization -- Social computing -- Information security -- Virtual reality and human-computer interaction -- Healthcare informatics theory and methods -- Unsupervised learning -- Collective intelligence -- Intelligent computing in robotics -- Intelligent computing in communication networks -- Intelligent control and automation -- Intelligent data analysis and prediction -- Gene expression array analysis -- Gene regulation modeling and analysis -- Protein-protein interaction prediction -- Biology inspired computing and optimization -- Analysis and visualization of large biological data sets -- Motif detection -- Biomarker discovery -- Modeling, simulation, and optimization of biological systems -- Biomedical data modeling and mining -- Intelligent computing in biomedical signal/image analysis -- Intelligent computing in brain imaging -- Neuroinformatics -- Cheminformatics -- Intelligent computing in computational biology -- Computational genomics -- Biomedial data integration and mining in the era of big data -- Big data analytics -- Artificial intelligence for ambient assisted living -- Swarm intelligence with discrete dynamics.
520
$a
This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The 191 full papers and 42 short papers of this volume were carefully reviewed and selected from 191 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.
650
0
$a
Artificial intelligence
$3
693196
650
0
$a
Expert systems (Computer science)
$3
527462
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
890894
650
2 4
$a
Image Processing and Computer Vision.
$3
891070
650
2 4
$a
Pattern Recognition.
$3
891045
650
2 4
$a
Computational Biology/Bioinformatics.
$3
898313
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
1565452
650
2 4
$a
Computation by Abstract Devices.
$3
891207
700
1
$a
Huang, De-Shuang.
$3
891203
700
1
$a
Jo, Kang-Hyun.
$3
2072440
700
1
$a
Hussain, Abir.
$3
2160127
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
5353.
$x
0302-9743
$3
1274248
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-22186-1
950
$a
Computer Science (Springer-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9274189
電子資源
11.線上閱覽_V
電子書
EB Q334
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login