國立虎尾科技大學 |

Computational Intelligence Techniques for Combating COVID-19

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational Intelligence Techniques for Combating COVID-19/ edited by Sandeep Kautish, Sheng-Lung Peng, Ahmed J. Obaid.
other author:	Kautish, Sandeep.
Description:	X, 390 p. 154 illus., 129 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-68936-0
ISBN:	9783030689360

Computational Intelligence Techniques for Combating COVID-19
Computational Intelligence Techniques for Combating COVID-19[electronic resource] /edited by Sandeep Kautish, Sheng-Lung Peng, Ahmed J. Obaid. - 1st ed. 2021. - X, 390 p. 154 illus., 129 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8609. - EAI/Springer Innovations in Communication and Computing,.

Introduction -- Machine Intelligence Techniques for Identification and Diagnosis of COVID-19 -- AI and ML approaches for Drug Discovery and Manufacturing for COVID-19 -- Medical Imaging Diagnosis and Analysis for COVID-19 -- Personalized Medicines and vaccines development for COVID-19 -- Machine Learning and Behavioral Modification for COVID-19 -- Smart Health Record Management Techniques for COVID-19 -- Intelligent Clinical Trials for COVID-19 -- Crowdsourcing and Data Collection for COVID-19 -- Radiotherapy for COVID-19 -- Outbreak Prediction for COVID-19 -- Intelligent Mobile Applications for COVID-19 -- Internet of Things enabled applications and design Challenges -- Big Data Enabled Solutions for COVID-19 -- Electronic Governance Policies for Pandemic Crisis -- Use of Automation and Robots to Fight Coronavirus -- AR, VR and New-Age Technologies Demand Escalates Amid COVID-19 -- Unlocking Potentials of NLP to Fight against COVID-19 Crisis -- Chatbots for Coronavirus -- Conclusion.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

ISBN: 9783030689360

Standard No.: 10.1007/978-3-030-68936-0doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Computational Intelligence Techniques for Combating COVID-19
LDR:03703nam a22004095i 4500 001 1053597
003 DE-He213
005 20211115204702.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030689360 $9 978-3-030-68936-0
024 7 $a 10.1007/978-3-030-68936-0 $2 doi
035 $a 978-3-030-68936-0
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Computational Intelligence Techniques for Combating COVID-19 $h [electronic resource] / $c edited by Sandeep Kautish, Sheng-Lung Peng, Ahmed J. Obaid.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a X, 390 p. 154 illus., 129 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 EAI/Springer Innovations in Communication and Computing, $x 2522-8609
505 0 $a Introduction -- Machine Intelligence Techniques for Identification and Diagnosis of COVID-19 -- AI and ML approaches for Drug Discovery and Manufacturing for COVID-19 -- Medical Imaging Diagnosis and Analysis for COVID-19 -- Personalized Medicines and vaccines development for COVID-19 -- Machine Learning and Behavioral Modification for COVID-19 -- Smart Health Record Management Techniques for COVID-19 -- Intelligent Clinical Trials for COVID-19 -- Crowdsourcing and Data Collection for COVID-19 -- Radiotherapy for COVID-19 -- Outbreak Prediction for COVID-19 -- Intelligent Mobile Applications for COVID-19 -- Internet of Things enabled applications and design Challenges -- Big Data Enabled Solutions for COVID-19 -- Electronic Governance Policies for Pandemic Crisis -- Use of Automation and Robots to Fight Coronavirus -- AR, VR and New-Age Technologies Demand Escalates Amid COVID-19 -- Unlocking Potentials of NLP to Fight against COVID-19 Crisis -- Chatbots for Coronavirus -- Conclusion.
520 $a This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).
650 0 $a Electrical engineering. $3 596380
650 0 $a Biomedical engineering. $3 588770
650 0 $a Health informatics. $3 1064466
650 1 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Health Informatics. $3 593963
700 1 $a Kautish, Sandeep. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1358506
700 1 $a Peng, Sheng-Lung. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 815699
700 1 $a Obaid, Ahmed J. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1358507
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030689353
776 0 8 $i Printed edition: $z 9783030689377
776 0 8 $i Printed edition: $z 9783030689384
830 0 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8595 $3 1288259
856 4 0 $u https://doi.org/10.1007/978-3-030-68936-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)