東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Artificial intelligence and machine ...

Al-Turjman, Fadi.

FindBook

Google Book

Amazon

博客來

Artificial intelligence and machine learning for COVID-19

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and machine learning for COVID-19/ edited by Fadi Al-Turjman.
其他作者:	Al-Turjman, Fadi.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 266 p. :ill., digital ;24 cm.
內容註:	Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus -- A Review on COVID-19 -- Artificial Intelligence in the Face of the Corona Virus Pandemic -- Digital Transformation and Emerging Technologies for COVID-19 Pandemic: Social, Global and Industry Perspectives -- A Deep Analysis and Prediction of COVID-19 in India: Using Ensemble Regression Approach -- Image Enhancement in Healthcare Applications: A Review -- DEEP LEARNING APPROACH USING 3D-ImpCNN CLASSIFICATION FOR CORONAVIRUS DISEASE -- Drone-based Social Distancing, Sanitisation, Inspection, Monitoring and Control Room for COVID-19 -- Application of AI Techniques for COVID-19 in IoT and Big-Data Era: A Survey -- APPLICATION OF IoT, AI and 5G IN the FIGHT AGAINST the COVID-19 PENDAMIC -- AI techniques for Resource Management during Covid-19.
Contained By:	Springer Nature eBook
標題:	COVID-19 (Disease) - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-60188-1
ISBN:	9783030601881

Artificial intelligence and machine learning for COVID-19
Artificial intelligence and machine learning for COVID-19[electronic resource] /edited by Fadi Al-Turjman. - Cham :Springer International Publishing :2021. - x, 266 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9241860-949X ;. - Studies in computational intelligence ;v.924..

Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus -- A Review on COVID-19 -- Artificial Intelligence in the Face of the Corona Virus Pandemic -- Digital Transformation and Emerging Technologies for COVID-19 Pandemic: Social, Global and Industry Perspectives -- A Deep Analysis and Prediction of COVID-19 in India: Using Ensemble Regression Approach -- Image Enhancement in Healthcare Applications: A Review -- DEEP LEARNING APPROACH USING 3D-ImpCNN CLASSIFICATION FOR CORONAVIRUS DISEASE -- Drone-based Social Distancing, Sanitisation, Inspection, Monitoring and Control Room for COVID-19 -- Application of AI Techniques for COVID-19 in IoT and Big-Data Era: A Survey -- APPLICATION OF IoT, AI and 5G IN the FIGHT AGAINST the COVID-19 PENDAMIC -- AI techniques for Resource Management during Covid-19.

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) - from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Includes advances related to COVID-19 diagnosis and tracking through artificial intelligence and machine learning; Enriches the fields of AI and ML with new and innovative operational ideas aimed at aiding in efforts to combat and track COVID-19; Pertains to researchers, scientists, engineers, and practitioners in the field of computing and smart cities technologies.

ISBN: 9783030601881

Standard No.: 10.1007/978-3-030-60188-1doiSubjects--Topical Terms:

3486187
COVID-19 (Disease)
--Data processing.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Artificial intelligence and machine learning for COVID-19
LDR:03487nmm a2200337 a 4500 001 2237999
003 DE-He213
005 20210219194240.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030601881 $q (electronic bk.)
020 $a 9783030601874 $q (paper)
024 7 $a 10.1007/978-3-030-60188-1 $2 doi
035 $a 978-3-030-60188-1
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b A791 2021
245 0 0 $a Artificial intelligence and machine learning for COVID-19 $h [electronic resource] / $c edited by Fadi Al-Turjman.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a x, 266 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.924
505 0 $a Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus -- A Review on COVID-19 -- Artificial Intelligence in the Face of the Corona Virus Pandemic -- Digital Transformation and Emerging Technologies for COVID-19 Pandemic: Social, Global and Industry Perspectives -- A Deep Analysis and Prediction of COVID-19 in India: Using Ensemble Regression Approach -- Image Enhancement in Healthcare Applications: A Review -- DEEP LEARNING APPROACH USING 3D-ImpCNN CLASSIFICATION FOR CORONAVIRUS DISEASE -- Drone-based Social Distancing, Sanitisation, Inspection, Monitoring and Control Room for COVID-19 -- Application of AI Techniques for COVID-19 in IoT and Big-Data Era: A Survey -- APPLICATION OF IoT, AI and 5G IN the FIGHT AGAINST the COVID-19 PENDAMIC -- AI techniques for Resource Management during Covid-19.
520 $a This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) - from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Includes advances related to COVID-19 diagnosis and tracking through artificial intelligence and machine learning; Enriches the fields of AI and ML with new and innovative operational ideas aimed at aiding in efforts to combat and track COVID-19; Pertains to researchers, scientists, engineers, and practitioners in the field of computing and smart cities technologies.
650 0 $a COVID-19 (Disease) $x Data processing. $3 3486187
650 0 $a COVID-19 Pandemic, 2020- $x Data processing. $3 3490700
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Machine learning. $3 533906
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Health Promotion and Disease Prevention. $3 894308
700 1 $a Al-Turjman, Fadi. $3 3379460
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v.924. $3 3490699
856 4 0 $u https://doi.org/10.1007/978-3-030-60188-1
950 $a Computer Science (SpringerNature-11645)