Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Artificial intelligence for COVID-19
~
Hassan, Said Ali.
Artificial intelligence for COVID-19
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial intelligence for COVID-19edited by Diego Oliva, Said Ali Hassan, Ali Mohamed.
other author:
Oliva, Diego.
Published:
Cham :Springer International Publishing :2021.
Description:
x, 594 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
COVID-19 (Disease)Data processing.
Online resource:
https://doi.org/10.1007/978-3-030-69744-0
ISBN:
9783030697440$q(electronic bk.)
Artificial intelligence for COVID-19
Artificial intelligence for COVID-19
[electronic resource] /edited by Diego Oliva, Said Ali Hassan, Ali Mohamed. - Cham :Springer International Publishing :2021. - x, 594 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.3582198-4182 ;. - Studies in systems, decision and control ;v.3..
Simulation of the relation between the number of COVID-19 death cases as a result of the number of handwashing facilities by using artificial intelligence -- Big data and big data analytics for COVID-19 epidemic -- Big data in COVID-19 assistance - Concepts, motivations, advances and applications in real-world -- Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a case study -- Factors affecting medical mask purchase decision in COVID-19 pandemic -- Classification approach for COVID-19 gene based on Harris hawks optimization.
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
ISBN: 9783030697440$q(electronic bk.)
Standard No.: 10.1007/978-3-030-69744-0doiSubjects--Topical Terms:
875985
COVID-19 (Disease)
--Data processing.
LC Class. No.: RA644.C67
Dewey Class. No.: 614.592414
Artificial intelligence for COVID-19
LDR
:02621nmm a2200337 a 4500
001
605464
003
DE-He213
005
20210719213752.0
006
m d
007
cr nn 008maaau
008
211201s2021 sz s 0 eng d
020
$a
9783030697440$q(electronic bk.)
020
$a
9783030697433$q(paper)
024
7
$a
10.1007/978-3-030-69744-0
$2
doi
035
$a
978-3-030-69744-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RA644.C67
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
614.592414
$2
23
090
$a
RA644.C67
$b
A791 2021
245
0 0
$a
Artificial intelligence for COVID-19
$h
[electronic resource] /
$c
edited by Diego Oliva, Said Ali Hassan, Ali Mohamed.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
x, 594 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in systems, decision and control,
$x
2198-4182 ;
$v
v.358
505
0
$a
Simulation of the relation between the number of COVID-19 death cases as a result of the number of handwashing facilities by using artificial intelligence -- Big data and big data analytics for COVID-19 epidemic -- Big data in COVID-19 assistance - Concepts, motivations, advances and applications in real-world -- Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a case study -- Factors affecting medical mask purchase decision in COVID-19 pandemic -- Classification approach for COVID-19 gene based on Harris hawks optimization.
520
$a
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
650
0
$a
COVID-19 (Disease)
$x
Data processing.
$3
875985
650
0
$a
COVID-19 Pandemic, 2020-
$x
Data processing.
$3
894680
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
237917
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Biomedical Engineering and Bioengineering.
$3
826326
650
2 4
$a
Health Informatics.
$3
274212
650
2 4
$a
Data Engineering.
$3
839346
700
1
$a
Oliva, Diego.
$3
771185
700
1
$a
Hassan, Said Ali.
$3
901632
700
1
$a
Mohamed, Ali.
$3
901633
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Studies in systems, decision and control ;
$v
v.3.
$3
678532
856
4 0
$u
https://doi.org/10.1007/978-3-030-69744-0
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
ALL
電子館藏
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
000000203511
電子館藏
1圖書
電子書
EB RA644.C67 A791 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-69744-0
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login