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Computational intelligence technique...

Kautish, Sandeep.

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Computational intelligence techniques for combating COVID-19

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence techniques for combating COVID-19/ edited by Sandeep Kautish, Sheng-Lung Peng, Ahmed J. Obaid.
其他作者:	Kautish, Sandeep.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 390 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	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. - Cham :Springer International Publishing :2021. - x, 390 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - 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:

595739
Computational intelligence.

LC Class. No.: Q342 / .C667 2021

Dewey Class. No.: 006.3

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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)
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