國立虎尾科技大學 |

COVID-19: Prediction, Decision-Making, and its Impacts

Record Type:	Language materials, printed : Monograph/item
Title/Author:	COVID-19: Prediction, Decision-Making, and its Impacts/ edited by K.C. Santosh, Amit Joshi.
other author:	Santosh, K.C.
Description:	XII, 137 p. 24 illus., 19 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-9682-7
ISBN:	9789811596827

COVID-19: Prediction, Decision-Making, and its Impacts
COVID-19: Prediction, Decision-Making, and its Impacts[electronic resource] /edited by K.C. Santosh, Amit Joshi. - 1st ed. 2021. - XII, 137 p. 24 illus., 19 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,602367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

AI Joins the Fight Against COVID-19 -- AI for COVID-19: Conduits for Public Health Surveillance -- A Pre-screening Approach for COVID 19 Testing based on Belief Rule-Based Expert System -- Local Analytical System for Early Epidemic Detection -- Implementing early detection system for Covid-19 using anomaly detection -- Covid-19 classification based on Gray-Level Co-Occurrence Matrix and Support Vector Machine -- Rough sets in COVID-19 to Predict Symptomatic Cases -- COVID-19 Detection via Wavelet Entropy and Biogeography-based Optimization -- Machine Learning in Fighting Pandemics: A COVID-19 Case Study -- Robotics in Healthcare Against COVID-19 -- COVID-19: A necessity for changes and innovations -- Prediction to Service Delivery: AI in Action -- COVID-19 impacts construction industry: then, now, and future -- COVID-19 on Air Quality Index (AQI): A necessary evil?.

The book aims to outline the issues of AI and COVID-19, involving predictions, medical support decision-making, and possible impact on human life. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for several problems, such as public health surveillance, early (epidemic) prediction, COVID-19 positive case detection, and robotics integration against COVID-19. Beside mathematical modeling, it includes the necessity of changes in innovations and possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machine learning, and data analytics are considered. It aims to include the wide range of audiences from computer science and engineering to healthcare professionals.

ISBN: 9789811596827

Standard No.: 10.1007/978-981-15-9682-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

COVID-19: Prediction, Decision-Making, and its Impacts
LDR:03114nam a22003975i 4500 001 1050639
003 DE-He213
005 20210921072512.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789811596827 $9 978-981-15-9682-7
024 7 $a 10.1007/978-981-15-9682-7 $2 doi
035 $a 978-981-15-9682-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a COVID-19: Prediction, Decision-Making, and its Impacts $h [electronic resource] / $c edited by K.C. Santosh, Amit Joshi.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XII, 137 p. 24 illus., 19 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 Lecture Notes on Data Engineering and Communications Technologies, $x 2367-4520 ; $v 60
505 0 $a AI Joins the Fight Against COVID-19 -- AI for COVID-19: Conduits for Public Health Surveillance -- A Pre-screening Approach for COVID 19 Testing based on Belief Rule-Based Expert System -- Local Analytical System for Early Epidemic Detection -- Implementing early detection system for Covid-19 using anomaly detection -- Covid-19 classification based on Gray-Level Co-Occurrence Matrix and Support Vector Machine -- Rough sets in COVID-19 to Predict Symptomatic Cases -- COVID-19 Detection via Wavelet Entropy and Biogeography-based Optimization -- Machine Learning in Fighting Pandemics: A COVID-19 Case Study -- Robotics in Healthcare Against COVID-19 -- COVID-19: A necessity for changes and innovations -- Prediction to Service Delivery: AI in Action -- COVID-19 impacts construction industry: then, now, and future -- COVID-19 on Air Quality Index (AQI): A necessary evil?.
520 $a The book aims to outline the issues of AI and COVID-19, involving predictions, medical support decision-making, and possible impact on human life. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for several problems, such as public health surveillance, early (epidemic) prediction, COVID-19 positive case detection, and robotics integration against COVID-19. Beside mathematical modeling, it includes the necessity of changes in innovations and possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machine learning, and data analytics are considered. It aims to include the wide range of audiences from computer science and engineering to healthcare professionals.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Health informatics. $3 1064466
650 0 $a Machine learning. $3 561253
650 0 $a Technology—Sociological aspects. $3 1266803
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Science and Technology Studies. $3 1140135
700 1 $a Santosh, K.C. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1141150
700 1 $a Joshi, Amit. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1246887
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811596810
776 0 8 $i Printed edition: $z 9789811596834
830 0 $a Lecture Notes on Data Engineering and Communications Technologies, $x 2367-4512 ; $v 3 $3 1279482
856 4 0 $u https://doi.org/10.1007/978-981-15-9682-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)