國立高雄大學圖資館 |

Language: English

Back

Impact of AI and data science in res...

Mishra, Sushruta.

Impact of AI and data science in response to coronavirus pandemic

Record Type:	Electronic resources : Monograph/item
Title/Author:	Impact of AI and data science in response to coronavirus pandemicedited by Sushruta Mishra ... [et al.].
other author:	Mishra, Sushruta.
Published:	Singapore :Springer Singapore :2021.
Description:	xii, 324 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	COVID-19 Pandemic, 2020-Data processing.
Online resource:	https://doi.org/10.1007/978-981-16-2786-6
ISBN:	9789811627866$q(electronic bk.)

Impact of AI and data science in response to coronavirus pandemic
Impact of AI and data science in response to coronavirus pandemic[electronic resource] /edited by Sushruta Mishra ... [et al.]. - Singapore :Springer Singapore :2021. - xii, 324 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..

Fight Against Covid-19 Pandemic using Chat-Bots -- IoT for COVID-19: A Descriptive Viewpoint -- A Deep learning application for Prediction of COVID-19 -- Impact of Artificial Intelligence & Internet of Things in Effective Handling of Corona virus Crisis -- Application of Machine Learning Algorithms for effective determination of COVID 19 clusters -- Futuristic Intelligence based treatment methods to handle COVID-19 patients -- Machine Learning Approach for Analyzing Symptoms Associated with COVID-19 Risk Factors -- Detection of COVID-19 using Textual Clinical Data: A Machine Learning Approach -- Application Of Big Data In Analysis And Management Of Coronavirus (COVID-19) -- Computer Vision in COVID-19: A Study -- Role of Artificial Intelligence in Forecast Analysis of COVID-19 Outbreak -- Smart Technology Application for COVID-19 Detection, Control, Prediction and Analysis -- Sentiment Analysis Of Twitter Data Related To COVID-19 -- Application of Artificial Intelligence (AI) for effective screening of COVID-19 -- An Overview of Significant Role of Data Science and its associated methodologies in COVID-19 Handling.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

ISBN: 9789811627866$q(electronic bk.)

Standard No.: 10.1007/978-981-16-2786-6doiSubjects--Topical Terms:

894680
COVID-19 Pandemic, 2020-
--Data processing.

LC Class. No.: RA644.C67

Dewey Class. No.: 614.592414

Impact of AI and data science in response to coronavirus pandemic
LDR:03280nmm a2200337 a 4500 001 605472
003 DE-He213
005 20210722103215.0
006 m d
007 cr nn 008maaau
008 211201s2021 si s 0 eng d
020 $a 9789811627866$q(electronic bk.)
020 $a 9789811627859$q(paper)
024 7 $a 10.1007/978-981-16-2786-6 $2 doi
035 $a 978-981-16-2786-6
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 I34 2021
245 0 0 $a Impact of AI and data science in response to coronavirus pandemic $h [electronic resource] / $c edited by Sushruta Mishra ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 324 p. : $b ill., digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7565
505 0 $a Fight Against Covid-19 Pandemic using Chat-Bots -- IoT for COVID-19: A Descriptive Viewpoint -- A Deep learning application for Prediction of COVID-19 -- Impact of Artificial Intelligence & Internet of Things in Effective Handling of Corona virus Crisis -- Application of Machine Learning Algorithms for effective determination of COVID 19 clusters -- Futuristic Intelligence based treatment methods to handle COVID-19 patients -- Machine Learning Approach for Analyzing Symptoms Associated with COVID-19 Risk Factors -- Detection of COVID-19 using Textual Clinical Data: A Machine Learning Approach -- Application Of Big Data In Analysis And Management Of Coronavirus (COVID-19) -- Computer Vision in COVID-19: A Study -- Role of Artificial Intelligence in Forecast Analysis of COVID-19 Outbreak -- Smart Technology Application for COVID-19 Detection, Control, Prediction and Analysis -- Sentiment Analysis Of Twitter Data Related To COVID-19 -- Application of Artificial Intelligence (AI) for effective screening of COVID-19 -- An Overview of Significant Role of Data Science and its associated methodologies in COVID-19 Handling.
520 $a The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.
650 0 $a COVID-19 Pandemic, 2020- $x Data processing. $3 894680
650 0 $a Machine learning. $3 188639
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Statistics, general. $3 275684
650 2 4 $a Health Informatics. $3 274212
700 1 $a Mishra, Sushruta. $3 901635
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Algorithms for intelligent systems. $3 857955
856 4 0 $u https://doi.org/10.1007/978-981-16-2786-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)